{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,26]],"date-time":"2026-10-26T09:33:00Z","timestamp":1793007180381,"version":"4.5.0"},"reference-count":53,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82570501"],"award-info":[{"award-number":["82570501"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100022963","name":"Key Research and Development Program of Zhejiang Province","doi-asserted-by":"publisher","award":["2025C01136"],"award-info":[{"award-number":["2025C01136"]}],"id":[{"id":"10.13039\/100022963","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Biomedical Informatics"],"published-print":{"date-parts":[[2026,11]]},"DOI":"10.1016\/j.jbi.2026.105108","type":"journal-article","created":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T23:50:53Z","timestamp":1791503453000},"page":"105108","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["LongCAF: A longitudinal context-constructive agentic framework for LLM-supported hypertension self-management"],"prefix":"10.1016","volume":"183","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-0679-7827","authenticated-orcid":false,"given":"Yaoqian","family":"Sun","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Longyun","family":"Tao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Han","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2023-6972","authenticated-orcid":false,"given":"Yijie","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kexin","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8112-5961","authenticated-orcid":false,"given":"Han","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shan","family":"Nan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingzhi","family":"Shen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xudong","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jbi.2026.105108_b0005","unstructured":"Ferrari AJ, Santomauro DF, Aali A, Abate YH, Abbafati C, Abbastabar H, ElHafeez SA, Abdelmasseh M, Abd-Elsalam S, Abdollahi A, Abdullahi A, Abegaz KH, Zu\u00f1iga RAA, Aboagye RG, Abolhassani H, Abreu LG, Abualruz H, Abu-Gharbieh E, Abu-Rmeileh NM, Ackerman IN, Addo IY, Addolorato G, Adebiyi AO, Adepoju AV, Adewuyi HO, Afyouni S, Afzal S, Afzal S, Agodi A, Ahmad A, Ahmad D, Ahmad F, Ahmad S, Ahmed A, Ahmed LA, Ahmed MB, Ajami M, Akinosoglou K, Akkaif MA, Hasan SMA, Alalalmeh SO, Al-Aly Z, Albashtawy M, Aldridge RW, Alemu MD, Alemu YM, Alene KA, Al-Gheethi AAS, Alharrasi M, Alhassan RK, Ali MU, Ali R, Ali SSS, Alif SM, Aljunid SM, Al-Marwani S, Almazan JU, Alomari MA, Al-Omari B, Altaany Z, Alvis-Guzman N, Alvis-Zakzuk NJ, Alwafi H, Al-Wardat MS, Al-Worafi YM, Aly S, Alzoubi KH, Amare AT, Amegbor PM, Ameyaw EK, Amin TT, Amindarolzarbi A, Amiri S, Amugsi DA, Ancuceanu R, Anderlini D, Anderson DB, Andrade PP, Andrei CL, Ansari H, Antony CM, Anwar S, Anwar SL, Anwer R, Anyanwu PE, Arab JP, Arabloo J, Arafat M, Araki DT, Aravkin AY, Arkew M, Armocida B, Arndt MB, Arooj M, Artamonov AA, Aruleba RT, Arumugam A, Ashbaugh C, Ashemo MY, Ashraf M, Asika MO, Askari E, Astell-Burt T, Athari SS, Atorkey P, Atout MMW, Atreya A, Aujayeb A, Ausloos M, Avan A, Awotidebe AW, Awuviry-Newton K, Quintanilla BPA, Ayuso-Mateos JL, Azadnajafabad S, Azevedo RMS, Babu AS, Badar M, Badiye AD, Baghdadi S, Bagheri N, Bah S, Bai R, Baker JL, Bakkannavar SM, Bako AT, Balakrishnan S, Bam K, Banik PC, Barchitta M, Bardhan M, Bardideh E, Barker-Collo SL, Barqawi HJ, Barrow A, Barteit S, Barua L, Aliabadi SB, Basiru A, Basu S, Basu S, Bathini PP, Batra K, Baune BT, Bayileyegn NS, Behnam B, Behnoush AH, Beiranvand M, Ramirez DFB, Bell ML, Bello OO, Beloukas A, Bensenor IM, Berezvai Z, Bernabe E, Bernstein RS, Bettencourt PJG, Bhagavathula AS, Bhala N, Bhandari D, Bhargava A, Bhaskar S, Bhat V, Bhatti GK, Bhatti JS, Bhatti MS, Bhatti R, Bhutta ZA, Bikbov B, Bishai JD, Bisignano C, Bitra VR, Bj\u00f8rge T, Bodolica V, Bodunrin AO, Bogale EK, Hashemi MB, Bonny A, Basara BB, Borhany H, Boxe C, Brady OJ, Bragazzi NL, Braithwaite D, Brant LC, Brauer M, Breitner S, Brenner H, Brown J, Brugha T, Bulamu NB, Buonsenso D, Burkart K, Burns RA, Busse R, Bustanji Y, Butt ZA, Byun J, Santos FLC dos, Calina D, C\u00e1mera LA, Campos-Nonato IR, Cao C, Capodici A, Carr S, Carreras G, Carugno A, Carvalho M, Castaldelli-Maia JM, Casta\u00f1eda-Orjuela CA, Castelpietra G, Catapano AL, Cattaruzza MS, Caye A, Cegolon L, Cembranel F, Cenderadewi M, Cerin E, Chakraborty PA, Chan JSK, Chan RNC, Chandika RM, Chandrasekar EK, Charalampous P, Chattu VK, Chatzimavridou-Grigoriadou V, Chen AW, Chen A-T, Chen CS, Chen H, Chen NM, Cheng ETW, Chimed-Ochir O, Chimoriya R, Ching PR, Cho WCS, Choi S, Chong B, Chong YY, Choudhari SG, Chowdhury R, Christensen SWM, Chu D-T, Chukwu IS, Chung E, Chung E, Chutiyami M, Claassens MM, Cogen RM, Columbus A, Conde J, Cortesi PA, Cousin E, Criqui MH, Cruz-Martins N, Dadras O, Dai S, Dai X, Dai Z, Dalaba MA, Damiani G, Das JK, Das S, Dashti M, D\u00e1vila-Cervantes CA, Davletov K, Leo DD, Debele AT, Debopadhaya S, DeCleene NK, Deeba F, Degenhardt L, Bo\u2019 CD, Delgado-Enciso I, Demetriades AK, Denova-Guti\u00e9rrez E, Dervenis N, Desai HD, Desai R, Deuba K, Dhama K, Dharmaratne SD, Dhingra S, Silva DD da, Diaz D, Diaz LA, Diaz MJ, Dima A, Ding DD, Dirac MA, Do THP, Prado CB do, Dohare S, Dominguez R-MV, Dong W, Dongarwar D, D\u2019Oria M, Dorsey ER, Doshmangir L, Dowou RK, Driscoll TR, Dsouza HL, Dsouza V, Dube J, Dumith SC, Duncan BB, Duraes AR, Duraisamy S, Durojaiye OC, Dzianach PA, Dziedzic AM, Eboreime E, Ebrahimi A, Edinur HA, Edvardsson D, Eikemo TA, Eini E, Ekholuenetale M, Ekundayo TC, Sayed IE, Tantawi ME, Elbarazi I, Elemam NM, ElGohary GMT, Elhadi M, Elmeligy OAA, ELNahas G, Elshaer M, Elsohaby I, Bain LE, Erkhembayar R, Eshrati B, Estep K, Fabin N, Fagbamigbe AF, Falzone L, Fareed M, Farinha CS e S, Faris MEM, Faro A, Farrokhi P, Fatehizadeh A, Fauk NK, Feigin VL, Feng X, Fereshtehnejad S-M, Feroze AH, Ferreira N, Ferreira PH, Fischer F, Flavel J, Flood D, Flor LS, Foigt NA, Folayan MO, Force LM, Fortuna D, Foschi M, Franklin RC, Freitas A, Fukumoto T, Furtado JM, Gaal PA, Gadanya MA, Gaidhane AM, Gaihre S, Galali Y, Ganbat M, Gandhi AP, Ganesan B, Ganie MA, Ganiyani MA, Gardner WM, Gebi TG, Gebregergis MW, Gebrehiwot M, Gebremariam TBB, Gebremeskel TG, Gela YY, Georgescu SR, Obsa AG, Gething PW, Getie M, Ghadiri K, Ghadirian F, Ghailan KY, Ghajar A, Ghasemi M, Dabaghi GG, Ghasemzadeh A, Ghazy RM, Gholamrezanezhad A, Ghorbani M, Ghotbi E, Gibson RM, Gill TK, Ginindza TG, Girmay A, Glasbey JC, G\u00f6b\u00f6l\u00f6s L, Godinho MA, Goharinezhad S, Goldust M, Golechha M, Goleij P, Gona PN, Gorini G, Goulart AC, Grada A, Grivna M, Guan S-Y, Guarducci G, Gubari MIM, Gudeta MD, Guha A, Guicciardi S, Gulati S, Gulisashvili D, Gunawardane DA, Guo C, Gupta AK, Gupta B, Gupta I, Gupta M, Gupta R, Gupta VB, Gupta VK, Gupta VK, Guti\u00e9rrez RA, Habibzadeh F, Habibzadeh P, Haddadi R, Hadi NR, Haep N, Hafezi-Nejad N, Hafiz A, Hagins H, Halboub ES, Halimi A, Haller S, Halwani R, Hamilton EB, Hankey GJ, Hannan MA, Haque MN, Harapan H, Haro JM, Hartvigsen J, Hasaballah AI, Hasan I, Hasanian M, Hasnain MS, Hassan A, Haubold J, Havmoeller RJ, Hay SI, Hayat K, Hebert JJ, Hegazi OE, Heidari G, Helfer B, Hemmati M, Hendrie D, Henson CA, Hezam K, Hiraike Y, Hoan NQ, Holla R, Hon J, Hossain MM, Hosseinzadeh H, Hosseinzadeh M, Hostiuc M, Hostiuc S, Hsu JM, Huang J, Hugo FN, Hushmandi K, Hussain J, Hussein NR, Huynh CK, Huynh H-H, Hwang B-F, Iannucci VC, Ihler AL, Ikiroma AI, Ikuta KS, Ilesanmi OS, Ilic IM, Ilic MD, Imam MT, Immurana M, Irham LM, Islam MR, Islam SMS, Islami F, Ismail F, Ismail NE, Isola G, Iwagami M, Iwu CCD, Iyer M, Jaafari J, Jacobsen KH, Jadidi-Niaragh F, Jafarinia M, Jaggi K, Jahankhani K, Jahanmehr N, Jahrami H, Jain A, Jain N, Jairoun AA, Jaiswal A, Jakovljevic M, Jatau AI, Javadov S, Javaheri T, Jayapal SK, Jayaram S, Jee SH, Jeganathan J, Jeyakumar A, Jha AK, Jiang H, Jin Y, Jonas JB, Joo T, Joseph A, Joseph N, Joshua CE, Jozwiak JJ, J\u00fcrisson M, K V, Kaambwa B, Kabir A, Kabir Z, Kadashetti V, Kalani R, Kalankesh LR, Kaliyadan F, Kalra S, Kamenov K, Kamyari N, Kanagasabai T, Kandel H, Kanmanthareddy AR, Kanmodi KK, Kantar RS, Karaye IM, Karim A, Karimi SE, Karimi Y, Kasraei H, Kassel MB, Kauppila JH, Kawakami N, Kayode GA, Kazemi F, Kazemian S, Keikavoosi-Arani L, Keller C, Kempen JH, Kerr JA, Keshtkar K, Kesse-Guyot E, Keykhaei M, Khajuria H, Khalaji A, Khalid A, Khalid N, Khalilian A, Khamesipour F, Khan A, Khan I, Khan M, Khan MA, Khanmohammadi S, Khatab K, Khatami F, Khatatbeh MM, Khater AM, Kashani HRK, Khidri FF, Khodadoust E, Khormali M, Khorrami Z, Kifle ZD, Kim MS, Kimokoti RW, Kisa A, Kisa S, Knudsen AKS, Kocarnik JM, Kochhar S, Koh HY, Kolahi A-A, Kompani F, Koren G, Korzh O, Kosen S, Laxminarayana SLK, Krishan K, Krishna V, Krishnamoorthy V, Defo BK, Kuddus MA, Kuddus M, Kuitunen I, Kulkarni V, Kumar M, Kumar N, Kumar R, Kurmi OP, Kusuma D, Kyu HH, Vecchia CL, Lacey B, Ladan MA, Laflamme L, Lafranconi A, Lahariya C, Lai DTC, Lal DK, Lalloo R, Lallukka T, L\u00e1m J, Lan Q, Lan T, Landires I, Lanfranchi F, Langguth B, Laplante-L\u00e9vesque A, Larijani B, Larsson AO, Lasrado S, Lauriola P, Le H-H, Le LKD, Le NHH, Le TDT, Leasher JL, Ledda C, Lee M, Lee PH, Lee S, Lee SW, Lee W-C, Lee YH, LeGrand KE, Lenzi J, Leong E, Leung J, Li M-C, Li W, Li X, Li Y, Li Y, Lim L-L, Lim SS, Lindstrom M, Linn S, Liu G, Liu R, Liu S, Liu W, Liu X, Liu X, Llanaj E, Lo C-H, L\u00f3pez-Bueno R, Loreche AM, Lorenzovici L, Lozano R, Lubinda J, Lucchetti G, Lunevicius R, Lusk JB, Lv H, Ma ZF, Machairas N, Madureira-Carvalho \u00c1M, G\u00f3mez JAM, Maghazachi AA, Maharjan P, Mahasha PW, Maheri M, Mahjoub S, Mahmoud MA, Mahmoudi E, Majeed A, Makris KC, Rad EM, Malhotra K, Malik AA, Malik I, Malta DC, Manla Y, Mansour A, Mansouri P, Mansournia MA, Herrera AMM, Mantovani LG, Manu E, Marateb HR, Mardi P, Martinez G, Martinez-Piedra R, Martini D, Martins-Melo FR, Martorell M, Marx W, Maryam S, Marzo RR, Mathangasinghe Y, Mathieson S, Mathioudakis AG, Mattumpuram J, Maugeri A, Mayeli M, Mazidi M, Mazzotti A, McGrath JJ, McKee M, McKowen ALW, McPhail MA, Mehrabani-Zeinabad K, Nasab EM, Meto TM, Mendoza W, Menezes RG, Mensah GA, Mentis A-FA, Meo SA, Meresa HA, Meretoja A, Meretoja TJ, Mersha AM, Mestrovic T, Mettananda KCD, Mettananda S, Michalek IM, Miller PA, Miller TR, Mills EJ, Minh LHN, Mirijello A, Mirrakhimov EM, Mirutse MK, Mirza-Aghazadeh-Attari M, Mirzaei M, Mirzaei R, Misganaw A, Mishra AK, Mitchell PB, Mittal C, Moazen B, Moberg ME, Mohamed J, Mohamed MFH, Mohamed NS, Mohammadi E, Mohammadi S, Mohammed H, Mohammed S, Mohammed S, Mohr RM, Mokdad AH, Molinaro S, Momtazmanesh S, Monasta L, Mondello S, Ghalibaf AM, Moradi M, Moradi Y, Moradi-Lakeh M, Moraga P, Morawska L, Moreira RS, Morovatdar N, Morrison SD, Morze J, Mosapour A, Mosser JF, Mossialos E, Motappa R, Mougin V, Mouodi S, Mrejen M, Msherghi A, Mubarik S, Mueller UO, Mulita F, Munjal K, Murillo-Zamora E, Murlimanju BV, Mustafa G, Muthu S, Muzaffar M, Myung W, Nagarajan AJ, Naghavi P, Naik GR, Nainu F, Nair S, Najmuldeen HHR, Nangia V, Naqvi AA, Narayana AI, Nargus S, Nascimento GG, Nashwan AJ, Nasrollahizadeh A, Nasrollahizadeh A, Natto ZS, Nayak BP, Nayak VC, Nduaguba SO, Negash H, Negoi I, Negoi RI, Nejadghaderi SA, Nesbit OD, Netsere HB, Ng M, Nguefack-Tsague G, Ngunjiri JW, Nguyen DH, Nguyen HQ, Niazi RK, Nikolouzakis TK, Nikoobar A, Nikoomanesh F, Nikpoor AR, Nnaji CA, Nnyanzi LA, Noman EA, Nomura S, Norrving B, Nri-Ezedi CA, Ntaios G, Ntsekhe M, Nurrika D, Nzoputam CI, Nzoputam OJ, Oancea B, Odetokun IA, O\u2019Donnell MJ, Oguntade AS, Oguta JO, Okati-Aliabad H, Okeke SR, Okekunle AP, Okonji OC, Olagunju AT, Olasupo OO, Olatubi MI, Oliveira GMM, Olufadewa II, Olusanya BO, Olusanya JO, Omar HA, Omer GL, Omonisi AEE, Onie S, Onwujekwe OE, Ordak M, Orish VN, Ortega-Altamirano DV, Ortiz A, Ortiz-Brizuela E, Osman WMS, Ostroff SM, Osuagwu UL, Otoiu A, Otstavnov N, Otstavnov SS, Ouyahia A, Ouyang G, Owolabi MO, A MPP, Padron-Monedero A, Padubidri JR, Palicz T, Palladino C, Pan F, Pandi-Perumal SR, Pangaribuan HU, Panos GD, Panos LD, Stoian AMP, Pardhan S, Parikh RR, Pashaei A, Pasovic M, Passera R, Patel J, Patel SK, Patil S, Patoulias D, Patthipati VS, Pawar S, Toroudi HP, Pease SA, Peden AE, Pedersini P, Peng M, Pensato U, Pepito VCF, Peprah EK, Peprah P, Perdig\u00e3o J, Pereira MO, Perianayagam A, Perico N, Pesudovs K, Petermann-Rocha FE, Petri WA, Pham HT, Philip AK, Phillips MR, Pigeolet M, Pigott DM, Pillay JD, Piracha ZZ, Pirouzpanah S, Plass D, Plotnikov E, Poddighe D, Polinder S, Postma MJ, Pourtaheri N, Prada SI, Pradhan PMS, Prakash V, Prasad M, Prates EJS, Priscilla T, Pritchett N, Puri P, Puvvula J, Qasim NH, Qattea I, Qazi AS, Qian G, Rad MR, Radhakrishnan RA, Radhakrishnan V, Shahraki HR, Rafferty Q, Raggi A, Raghav PR, Rahim MJ, Rahman MM, Rahman MHU, Rahman M, Rahman MA, Rahmani S, Rahmanian M, Rahmawaty S, Rajaa S, Ramadan MM, Ramasamy SK, Ramasubramani P, Ramazanu S, Rana K, Ranabhat CL, Rancic N, Rane A, Rao CR, Rao K, Rao M, Rao SJ, Rashidi M-M, Babu GR, Rauniyar SK, Rawaf DL, Rawaf S, Razo C, Reddy MMRK, Redwan EMM, Reifels L, Jr RCR, Remuzzi G, Renzaho AMN, Reshmi B, Reyes LF, Rezaei N, Rezaei N, Rezaei N, Hachesu PR, Rezaeian M, Rickard J, Rodrigues CF, Rodriguez JAB, Roever L, Ronfani L, Roshandel G, Rotimi K, Rout HS, Roy B, Roy N, Roy P, Rubagotti E, N CS, Saad AMA, Saber-Ayad MM, Sabour S, Sacco S, Sachdev PS, Saddik B, Saddler A, Sadee BA, Sadeghi E, Sadeghi M, Saeb MR, Saeed U, Safi SZ, Sagar R, Sagoe D, Saif Z, Sajid MR, Sakshaug JW, Salam N, Salami AA, Salaroli LB, Saleh MA, Salem MR, Salem MZY, Sallam M, Samadzadeh S, Samargandy S, Samodra YL, Samy AM, Sanabria J, Sanna F, Santos IS, Santric-Milicevic MM, Sarasmita MA, Sarikhani Y, Sarmiento-Su\u00e1rez R, Sarode GS, Sarode SC, Sarveazad A, Sathian B, Sathyanarayan A, Satpathy M, Sawhney M, Scarmeas N, Schaarschmidt BM, Schmidt MI, Schneider IJC, Schumacher AE, Schwebel DC, Schwendicke F, Sedighi M, Senapati S, Senthilkumaran S, Sepanlou SG, Sethi Y, Setoguchi S, Seylani A, Shadid J, Shafie M, Shah H, Shah NS, Shah PA, Shahbandi A, Shahid S, Shahid W, Shahwan MJ, Shaikh MA, Shakeri A, Shalash AS, Sham S, Shamim MA, Shamshirgaran MA, Shamsi MA, Shanawaz M, Shankar A, Shannawaz M, Sharath M, Sharifan A, Sharifi-Rad J, Sharma M, Sharma R, Sharma S, Sharma U, Sharma V, Shastry RP, Shavandi A, Shayan AM, Shayan M, Shehabeldine AME, Shetty PH, Shibuya K, Shifa JE, Shiferaw D, Shiferaw WS, Shigematsu M, Shiri R, Shitaye NA, Shittu A, Shivakumar KM, Shivarov V, Eshkiki ZS, Shool S, Shrestha S, Shuval K, Sibhat MM, Siddig EE, Sigfusdottir ID, Silva DAS, Silva JP, Silva LMLR, Silva S, Simpson CR, Singal A, Singh A, Singh BB, Singh H, Singh JA, Singh M, Singh P, Skou ST, Sleet DA, Slepak ELN, Solanki R, Soliman SSM, Song S, Song Y, Sorensen RJD, Soriano JB, Soyiri IN, Spartalis M, Sreeramareddy CT, Stark BA, Starodubova AV, Stein C, Stein DJ, Steiner C, Steiner TJ, Steinmetz JD, Steiropoulos P, Stockfelt L, Stokes MA, Subedi NS, Subramaniyan V, Suemoto CK, Suleman M, Abdulkader RS, Sultana A, Sundstr\u00f6m J, Swain CK, Szarpak L, Damavandi PT, Tabar\u00e9s-Seisdedos R, Malazy OT, Tabatabaeizadeh S-A, Tabatabai S, Tabche C, Tabish M, Tadakamadla SK, Abkenar YT, Soodejani MT, Taherkhani A, Taiba J, Talaat IM, Talukder A, Tampa M, Tamuzi JL, Tan K-K, Tandukar S, Tang H, Oliaee RT, Tavangar SM, Teimoori M, Temsah M-H, Teramoto M, Thangaraju P, Thankappan KR, Thapar R, Thayakaran R, Thirunavukkarasu S, Thomas N, Thomas NK, Thum CCC, Tichopad A, Ticoalu JHV, Tillawi T, Tiruye TY, Tobe-Gai R, Tonelli M, Topor-Madry R, Torre AE, Touvier M, Tovani-Palone MR, Tran JT, Tran MTN, Tran NM, Tran N-H, Trico D, Tromans SJ, Truyen TTTT, Tsatsakis A, Tsegay GM, Tsermpini EE, Tumurkhuu M, Tyrovolas S, Udoh A, Umair M, Umakanthan S, Umar TP, Undurraga EA, Unim B, Unnikrishnan B, Unsworth CA, Upadhyay E, Urso D, Usman JS, Vahabi SM, Vaithinathan AG, Eynde JV den, Varga O, Varma RP, Vart P, Vasankari TJ, Vasic M, Vaziri S, Vellingiri B, Venketasubramanian N, Veroux M, Verras G-I, Vervoort D, Villafa\u00f1e JH, Violante FS, Vlassov V, Vollset SE, Volovat SR, Vongpradith A, Waheed Y, Wang C, Wang F, Wang N, Wang S, Wang Y, Wang Y-P, Ward P, Wassie EG, Weaver MR, Weerakoon KG, Weintraub RG, Weiss DJ, Weldemariam AH, Wells KM, Wen YF, Whisnant JL, Whiteford HA, Wiangkham T, Wickramasinghe DP, Wickramasinghe ND, Wilandika A, Wilkerson C, Willeit P, Wimo A, Woldegebreal DH, Wolf AW, Wong YJ, Woolf AD, Wu C, Wu F, Wu X, Wu Z, Hanson SW, Xia Y, Xiao H, Xu X, Xu YY, Yadav L, Yadollahpour A, Yaghoubi S, Yamagishi K, Yang L, Yano Y, Yao Y, Yaribeygi H, Yazdanpanah MH, Ye P, Yehualashet SS, Yesuf SA, Yezli S, Yi\u011fit A, Yi\u011fit V, Yigzaw ZA, Yismaw Y, Yon DK, Yonemoto N, Younis MZ, Yu C, Yu Y, Yusuf H, Zahid MH, Zakham F, Zaki L, Zaki N, Zaman BA, Zamora N, Zand R, Zandieh GGZ, Zar HJ, Zarrintan A, Zastrozhin MS, Zhang H, Zhang N, Zhang Y, Zhao H, Zhong C, Zhong P, Zhou J, Zhu Z, Ziafati M, Zieli\u0144ska M, Zimsen SRM, Zoladl M, Zumla A, Zyoud SH, Vos T, Murray CJL. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990\u20132021: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet Elsevier; 2024 May 18;403(10440):2133\u20132161. PMID:38642570."},{"issue":"202","key":"10.1016\/j.jbi.2026.105108_b0010","article-title":"The growing challenge of aging populations: addressing health and societal impacts","volume":"1","author":"Karaflou","year":"2025","journal-title":"Maturitas"},{"key":"10.1016\/j.jbi.2026.105108_b0015","series-title":"Journal of Medical Internet Research","article-title":"Machine Learning\u2013Based Prediction for Incident Hypertension Based on Regular Health Checkup Data: Derivation and Validation in 2 Independent Nationwide Cohorts in South Korea and Japan","author":"Hwang","year":"2024"},{"key":"10.1016\/j.jbi.2026.105108_b0020","doi-asserted-by":"crossref","unstructured":"Zhao X, Zhao Q, Yang Q, Li Y, Xing X, Li X. Effect of a Mobile Health Intervention in the Management of Hypertension: Open-Label Cluster-Randomized Trial. JMIR mHealth and uHealth JMIR Publications Inc., Toronto, Canada; 2025 Dec 24;13(1):e72416. doi: 10.2196\/72416.","DOI":"10.2196\/72416"},{"key":"10.1016\/j.jbi.2026.105108_b0025","doi-asserted-by":"crossref","unstructured":"Writing Committee Members, Jones DW, Ferdinand KC, Taler SJ, Johnson HM, Shimbo D, Abdalla M, Altieri MM, Bansal N, Bello NA, Bress AP, Carter J, Cohen JB, Collins KJ, Commodore-Mensah Y, Davis LL, Egan B, Khan SS, Lloyd-Jones DM, Melnyk BM, Mistry EA, Ogunniyi MO, Schott SL, Smith SC, Talbot AW, Vongpatanasin W, Watson KE, Whelton PK, Williamson JD. 2025 AHA\/ACC\/AANP\/AAPA\/ABC\/ACCP\/ACPM\/AGS\/AMA\/ASPC\/NMA\/PCNA\/SGIM Guideline for the Prevention, Detection, Evaluation and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology\/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation American Heart Association; 2025 Sept 16;152(11):e114\u2013e218. doi: 10.1161\/CIR.0000000000001356.","DOI":"10.1161\/CIR.0000000000001356"},{"key":"10.1016\/j.jbi.2026.105108_b0030","doi-asserted-by":"crossref","unstructured":"Wang J-G. Chinese Guidelines for the Prevention and Treatment of Hypertension (2024 revision). Journal of Geriatric Cardiology \u4e2d\u56fd\u4eba\u6c11\u89e3\u653e\u519b\u603b\u533b\u9662; 2025 Jan 28;22(1):1\u2013149. doi: 10.26599\/1671-5411.2025.01.008.","DOI":"10.26599\/1671-5411.2025.01.008"},{"key":"10.1016\/j.jbi.2026.105108_b0035","doi-asserted-by":"crossref","DOI":"10.1016\/j.jbi.2023.104523","article-title":"Personalization in mHealth: innovative informatics methods to improve patient experience and health outcome","volume":"147","author":"Ammenwerth","year":"2023","journal-title":"J. Biomed. Inform."},{"key":"10.1016\/j.jbi.2026.105108_b0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.jbi.2022.104276","article-title":"SATO (IDEAS expAnded wiTh BCIO): Workflow for designers of patient-centered mobile health behaviour change intervention applications","volume":"138","author":"Lisowska","year":"2023","journal-title":"J. Biomed. Inform."},{"key":"10.1016\/j.jbi.2026.105108_b0045","doi-asserted-by":"crossref","unstructured":"Hao Y, Holmes J, Waddle MR, Davis BJ, Yu NY, Vickers KS, Preston H, Margolin D, L\u00f6ckenhoff CE, Vashistha A, Kalantari S, Ghassemi M, Liu W. Personalizing prostate cancer education for patients using an EHR-Integrated LLM agent. npj Digit Med Nature Publishing Group; 2025 Dec 18;8(1):770. doi: 10.1038\/s41746-025-02166-0.","DOI":"10.1038\/s41746-025-02166-0"},{"key":"10.1016\/j.jbi.2026.105108_b0050","doi-asserted-by":"crossref","unstructured":"Goh HL, Sancenon V, Chu BMX, Koh GCH, Koh L, Teo D, Ooi MSL, Thng CN, Tan C-Z, Chua DWL, Ta AWA. Personalised health plan development using agentic AI in Singapore\u2019s national preventive care programme: a pilot study. npj Digit Med Nature Publishing Group; 2026 Mar 9;9(1):332. doi: 10.1038\/s41746-026-02514-8.","DOI":"10.1038\/s41746-026-02514-8"},{"issue":"22","key":"10.1016\/j.jbi.2026.105108_b0055","doi-asserted-by":"crossref","first-page":"733","DOI":"10.1186\/s12889-022-12990-8","article-title":"Interaction between self-perceived disease control and self-management behaviours among chinese middle-aged and older hypertensive patients: the role of subjective life expectancy","volume":"13","author":"Lu","year":"2022","journal-title":"BMC Public Health"},{"issue":"12","key":"10.1016\/j.jbi.2026.105108_b0060","doi-asserted-by":"crossref","DOI":"10.1136\/bmjopen-2022-066647","article-title":"Factors influencing the integration of self-management in daily life routines in chronic conditions: a scoping review of qualitative evidence","volume":"12","author":"Qama","year":"2022","journal-title":"BMJ Open"},{"key":"10.1016\/j.jbi.2026.105108_b0065","series-title":"Proceedings of the SIGCHI Conference on Human Factors in Computing Systems New York","first-page":"557","article-title":"A stage-based model of personal informatics systems","author":"Li","year":"2010"},{"issue":"6","key":"10.1016\/j.jbi.2026.105108_b0070","doi-asserted-by":"crossref","first-page":"446","DOI":"10.1007\/s12160-016-9830-8","article-title":"Just-in-time adaptive interventions (JITAIs) in mobile health: key components and design principles for ongoing health behavior support","volume":"52","author":"Nahum-Shani","year":"2017","journal-title":"Ann. Behav. Med."},{"key":"10.1016\/j.jbi.2026.105108_b0075","doi-asserted-by":"crossref","DOI":"10.1016\/j.jbi.2023.104481","article-title":"StepAdd: A personalized mHealth intervention based on social cognitive theory to increase physical activity among type 2 diabetes patients","volume":"145","author":"Sze","year":"2023","journal-title":"J. Biomed. Inform."},{"issue":"146","key":"10.1016\/j.jbi.2026.105108_b0080","article-title":"Designing personalised mHealth solutions: an overview","volume":"1","author":"Rivera-Romero","year":"2023","journal-title":"J. Biomed. Inform."},{"issue":"6","key":"10.1016\/j.jbi.2026.105108_b0085","first-page":"929","article-title":"Controversy in hypertension: pro-side of the argument using artificial intelligence for hypertension diagnosis and management","volume":"82","author":"Armoundas","year":"2025","journal-title":"Hypertension American Heart Association"},{"issue":"3","key":"10.1016\/j.jbi.2026.105108_b0090","doi-asserted-by":"crossref","first-page":"743","DOI":"10.1093\/jamia\/ocaf233","article-title":"Testing and evaluation of generative large language models in electronic health record applications: a systematic review","volume":"33","author":"Du","year":"2026","journal-title":"J. Am. Med. Inform. Assoc."},{"key":"10.1016\/j.jbi.2026.105108_b0095","doi-asserted-by":"crossref","unstructured":"Busch F, Hoffmann L, Rueger C, van Dijk EH, Kader R, Ortiz-Prado E, Makowski MR, Saba L, Hadamitzky M, Kather JN, Truhn D, Cuocolo R, Adams LC, Bressem KK. Current applications and challenges in large language models for patient care: a systematic review. Commun Med Nature Publishing Group; 2025 Jan 21;5(1):26. doi: 10.1038\/s43856-024-00717-2.","DOI":"10.1038\/s43856-024-00717-2"},{"issue":"11","key":"10.1016\/j.jbi.2026.105108_b0100","article-title":"Large language models in patient education: a scoping review of applications in medicine","volume":"29","author":"Aydin","year":"2024","journal-title":"Front. Med. (lausanne)"},{"issue":"1","key":"10.1016\/j.jbi.2026.105108_b0105","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1007\/s10916-025-02297-7","article-title":"RAG-enhanced open SLMs for hypertension management chatbots","volume":"49","author":"Aguzzi","year":"2025","journal-title":"J. Med. Syst."},{"issue":"2","key":"10.1016\/j.jbi.2026.105108_b0110","doi-asserted-by":"crossref","first-page":"609","DOI":"10.1038\/s41591-025-04074-y","article-title":"Reliability of LLMs as medical assistants for the general public: a randomized preregistered study","volume":"32","author":"Bean","year":"2026","journal-title":"Nat. Med. Nat. Publ. Group"},{"issue":"2","key":"10.1016\/j.jbi.2026.105108_b0115","doi-asserted-by":"crossref","DOI":"10.1093\/jamiaopen\/ooaf021","article-title":"A proof-of-concept study for patient use of open notes with large language models","volume":"8","author":"Salmi","year":"2025","journal-title":"JAMIA Open"},{"key":"10.1016\/j.jbi.2026.105108_b0120","doi-asserted-by":"crossref","unstructured":"Stade EC, Stirman SW, Ungar LH, Boland CL, Schwartz HA, Yaden DB, Sedoc J, DeRubeis RJ, Willer R, Eichstaedt JC. Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation. npj Mental Health Res Nature Publishing Group; 2024 Apr 2;3(1):12. doi: 10.1038\/s44184-024-00056-z.","DOI":"10.1038\/s44184-024-00056-z"},{"key":"10.1016\/j.jbi.2026.105108_b0125","doi-asserted-by":"crossref","unstructured":"Moylan K, Doherty K. Expert and Interdisciplinary Analysis of AI-Driven Chatbots for Mental Health Support: Mixed Methods Study. Journal of Medical Internet Research JMIR Publications Inc., Toronto, Canada; 2025 Apr 25;27(1):e67114. doi: 10.2196\/67114.","DOI":"10.2196\/67114"},{"issue":"12","key":"10.1016\/j.jbi.2026.105108_b0130","article-title":"A comparison of responses from human therapists and large language model\u2013based chatbots to assess therapeutic communication: mixed methods study","volume":"21","author":"Scholich","year":"2025","journal-title":"JMIR Ment. Health"},{"issue":"200","key":"10.1016\/j.jbi.2026.105108_b0135","article-title":"LLM-based conversational agents for behaviour change support: a randomised controlled trial examining efficacy, safety, and the role of user behaviour","volume":"1","author":"Meyer","year":"2025","journal-title":"Int. J. Hum Comput Stud."},{"issue":"1","key":"10.1016\/j.jbi.2026.105108_b0140","article-title":"Transforming wearable data into personal health insights using large language model agents","volume":"17","author":"Merrill","year":"2026","journal-title":"Nat. Commun. Nat. Publ. Group"},{"key":"10.1016\/j.jbi.2026.105108_b0145","doi-asserted-by":"crossref","unstructured":"Wang X, Griffith J, Adler DA, Castillo J, Choudhury T, Wang F. Exploring Personalized Health Support through Data-Driven, Theory-Guided LLMs: A Case Study in Sleep Health. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems New York, NY, USA: Association for Computing Machinery; 2025. p. 1\u201315. doi: 10.1145\/3706598.3713852.","DOI":"10.1145\/3706598.3713852"},{"issue":"27","key":"10.1016\/j.jbi.2026.105108_b0150","article-title":"Knowledge-practice performance gap in clinical large language models: systematic review of 39 benchmarks","volume":"1","author":"Gong","year":"2025","journal-title":"J. Med. Internet Res."},{"key":"10.1016\/j.jbi.2026.105108_b0155","series-title":"Proceedings of the 24th Workshop on Biomedical Language Processing Viena","first-page":"274","article-title":"Questioning our questions: how well do medical qa benchmarks evaluate clinical capabilities of language models?","author":"Kim","year":"2025"},{"key":"10.1016\/j.jbi.2026.105108_b0160","series-title":"Proceedings of the 38th International Conference on Neural Information Processing Systems Red Hook","first-page":"28858","article-title":"MEDIQ: question-asking LLMs and a benchmark for reliable interactive clinical reasoning","author":"Li","year":"2024"},{"issue":"8067","key":"10.1016\/j.jbi.2026.105108_b0165","first-page":"442","article-title":"Towards conversational diagnostic artificial intelligence","volume":"642","author":"Tu","year":"2025","journal-title":"Nature Nat. Publ. Group"},{"key":"10.1016\/j.jbi.2026.105108_b0170","series-title":"NLP-AI4 Health Mumbai","first-page":"55","article-title":"Patient-Centric Question Answering- Overview of the Shared Task at the Second Workshop on NLP and AI for Multilingual and Healthcare Communication","author":"Zechariah","year":"2025"},{"issue":"2","key":"10.1016\/j.jbi.2026.105108_b0175","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.imed.2025.03.002","article-title":"Evaluating large language models and agents in healthcare: key challenges in clinical applications","volume":"5","author":"Chen","year":"2025","journal-title":"Intelligent Medicine"},{"issue":"1","key":"10.1016\/j.jbi.2026.105108_b0180","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1038\/s41746-026-02428-5","article-title":"Large language models provide unsafe answers to patient-posed medical questions","volume":"9","author":"Draelos","year":"2026","journal-title":"NPJ Digit Med"},{"key":"10.1016\/j.jbi.2026.105108_b0185","article-title":"Impact of large language model assistance on patients reading clinical notes: a mixed-methods study","author":"Mannhardt","year":"2024","journal-title":"arXiv"},{"key":"10.1016\/j.jbi.2026.105108_b0190","unstructured":"Li SS, Mun J, Brahman F, Hosseini P, Thomas BG, Sin JM, Ren B, Ilgen JS, Tsvetkov Y, Sap M. ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning. 2025. Available from: https:\/\/openreview.net\/forum?id=12u7diwku0#discussion [accessed Dec 30, 2025]."},{"key":"10.1016\/j.jbi.2026.105108_b0195","unstructured":"Zhou Z, Feng X, Zhu Z, Yao J, Koyejo S, Han B. From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information? 2025. Available from: https:\/\/openreview.net\/forum?id=LCaTpVuvpj [accessed June 9, 2026]."},{"issue":"9","key":"10.1016\/j.jbi.2026.105108_b0200","doi-asserted-by":"crossref","first-page":"2613","DOI":"10.1038\/s41591-024-03097-1","article-title":"Evaluation and mitigation of the limitations of large language models in clinical decision-making","volume":"30","author":"Hager","year":"2024","journal-title":"Nat. Med."},{"issue":"1","key":"10.1016\/j.jbi.2026.105108_b0205","doi-asserted-by":"crossref","first-page":"515","DOI":"10.1109\/JBHI.2022.3209090","article-title":"Evaluation of a web-based simulation tool for self-management support in type 1 diabetes: a pilot study","volume":"27","author":"Colmegna","year":"2023","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"10.1016\/j.jbi.2026.105108_b0210","series-title":"ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","first-page":"16952","article-title":"DoctorAgent-RL: A multi-agent collaborative reinforcement learning system for multi-turn clinical dialogue","author":"Feng","year":"2026"},{"key":"10.1016\/j.jbi.2026.105108_b0215","series-title":"Findings of the Association for Computational Linguistics: EACL 2026 Rabat","first-page":"2858","article-title":"Dialogue is better than monologue: instructing meidcal LLMs via strategic conversations","author":"Liu","year":"2026"},{"issue":"6","key":"10.1016\/j.jbi.2026.105108_b0220","doi-asserted-by":"crossref","first-page":"2771","DOI":"10.1109\/JBHI.2022.3204737","article-title":"Adherence forecasting for guided internet-delivered cognitive behavioral therapy: a minimally data-sensitive approach","volume":"27","author":"C\u00f4t\u00e9-Allard","year":"2023","journal-title":"IEEE J. Biomed. Health Inform."},{"issue":"7","key":"10.1016\/j.jbi.2026.105108_b0225","doi-asserted-by":"crossref","first-page":"5257","DOI":"10.1109\/JBHI.2025.3540899","article-title":"FoodCoach: fully automated diet counseling","volume":"29","author":"Wu","year":"2025","journal-title":"IEEE J. Biomed. Health Inform."},{"issue":"11","key":"10.1016\/j.jbi.2026.105108_b0230","article-title":"App fatigue in mHealth: beyond improving apps, advance equity by meeting people where they are","volume":"4","author":"Ali","year":"2025","journal-title":"PLOS Digital Health Public Library Sci."},{"key":"10.1016\/j.jbi.2026.105108_b0235","series-title":"Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems New York","first-page":"1","article-title":"More than decision support: exploring patients\u2019 longitudinal usage of large language models in real-world healthcare-seeking journeys","author":"Cao","year":"2026"},{"issue":"15","key":"10.1016\/j.jbi.2026.105108_b0240","doi-asserted-by":"crossref","first-page":"1897","DOI":"10.1001\/jama.286.15.1897","article-title":"Narrative medicinea model for empathy, reflection, profession, and trust","volume":"286","author":"Charon","year":"2001","journal-title":"JAMA"},{"key":"10.1016\/j.jbi.2026.105108_b0245","series-title":"Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems New York","first-page":"1","article-title":"Zoom in, zoom out, reframe: domain experts\u2019 strategies for addressing non-experts\u2019 complex questions","author":"Freeman","year":"2025"},{"issue":"27","key":"10.1016\/j.jbi.2026.105108_b0250","article-title":"Electronic implementation of patient-reported outcome measures in primary health care: mixed methods systematic review","volume":"5","author":"Sasseville","year":"2025","journal-title":"J. Med. Internet Res."},{"issue":"9","key":"10.1016\/j.jbi.2026.105108_b0255","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0199838","article-title":"Successful adherence and retention to daily monitoring of physical activity: lessons learned","volume":"13","author":"Xu","year":"2018","journal-title":"PLoS One"},{"issue":"37","key":"10.1016\/j.jbi.2026.105108_b0260","article-title":"Patient generated health data and electronic health record integration, governance and socio-technical issues: a narrative review","volume":"1","author":"Kawu","year":"2023","journal-title":"Inf. Med. Unlocked"},{"issue":"8","key":"10.1016\/j.jbi.2026.105108_b0265","article-title":"Understanding patient portal uses and needs: cross-sectional study in a state fair setting","volume":"11","author":"Rajamani","year":"2024","journal-title":"JMIR Form Res"}],"container-title":["Journal of Biomedical Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1532046426001322?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1532046426001322?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,10,26]],"date-time":"2026-10-26T08:36:43Z","timestamp":1793003803000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1532046426001322"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,11]]},"references-count":53,"alternative-id":["S1532046426001322"],"URL":"https:\/\/doi.org\/10.1016\/j.jbi.2026.105108","relation":{},"ISSN":["1532-0464"],"issn-type":[{"value":"1532-0464","type":"print"}],"subject":[],"published":{"date-parts":[[2026,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"LongCAF: A longitudinal context-constructive agentic framework for LLM-supported hypertension self-management","name":"articletitle","label":"Article Title"},{"value":"Journal of Biomedical Informatics","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jbi.2026.105108","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"105108"}}