{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T20:46:40Z","timestamp":1792788400609,"version":"4.5.0"},"reference-count":73,"publisher":"Elsevier BV","issue":"5","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T00:00:00Z","timestamp":1779840000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Ayurveda and Integrative Medicine"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.jaim.2026.101372","type":"journal-article","created":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T21:18:13Z","timestamp":1785791893000},"page":"101372","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["Artificial Intelligence and Digital Technologies in Prakriti Assessment: Toward Standardized Evidence-Based Ayurvedic Practice"],"prefix":"10.1016","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-8044-0550","authenticated-orcid":false,"given":"Ramakrishna","family":"Allam","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4914-7153","authenticated-orcid":false,"given":"B.","family":"Kothainayagi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1067-1177","authenticated-orcid":false,"given":"Sankari","family":"Subbiah","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Swagata","family":"Sarkar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sivgaamasundari","family":"R","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jaim.2026.101372_bib1","unstructured":"Acharya YT, Editor (1st ed.). Sushruta Samhita of Dhanvantari. Sharira Sthana; Garbhavyakarana Shareeram: Chapter 4, verse 78. Varanasi; Chaukhambha Surbharati Prakashan."},{"key":"10.1016\/j.jaim.2026.101372_bib2","unstructured":"Lad V. Ayurveda: the science of self-healing: a practical guide. 1st ed. Wilmot, Wisconsin: Lotus Press; 1984."},{"issue":"1","key":"10.1016\/j.jaim.2026.101372_bib3","first-page":"1","article-title":"Ayurveda and the medical knowledge in ancient India: Shadows and realities","volume":"VII","author":"Sebastian","year":"2022","journal-title":"Indian J Med Ethics"},{"issue":"3","key":"10.1016\/j.jaim.2026.101372_bib4","first-page":"176","article-title":"Translating Ayurveda\u2019s Dosha-Prakriti into objective parameters","volume":"5","author":"Lakhotia","year":"2014","journal-title":"J Ayurveda Integr Med"},{"issue":"2","key":"10.1016\/j.jaim.2026.101372_bib5","doi-asserted-by":"crossref","first-page":"141","DOI":"10.4103\/0974-8520.92539","article-title":"Prakriti-based medicine: A step towards personalized medicine","volume":"32","author":"Chatterjee","year":"2011","journal-title":"Ayu"},{"key":"10.1016\/j.jaim.2026.101372_bib6","unstructured":"Caldecott T. Ayurveda: The Divine Science of Life. 1st ed. China: Elsevier Health Sciences; 2006."},{"issue":"3","key":"10.1016\/j.jaim.2026.101372_bib7","first-page":"167","article-title":"Determinants of prakriti, the human constitution types of Indian traditional medicine and its correlation with contemporary science","volume":"5","author":"Rotti","year":"2014","journal-title":"J Ayurveda Integr Med"},{"key":"10.1016\/j.jaim.2026.101372_bib8","doi-asserted-by":"crossref","unstructured":"Rastogi S. Prakriti analysis in Ayurveda: envisaging the need for better diagnostic tools. In: Rastogi S, editor. Evidence-Based Practice in Complementary and Alternative Medicine. Berlin, Heidelberg: Springer; 2012.","DOI":"10.1007\/978-3-642-24565-7_6"},{"issue":"5","key":"10.1016\/j.jaim.2026.101372_bib9","doi-asserted-by":"crossref","first-page":"365","DOI":"10.4103\/ijd.IJD_421_20","article-title":"Artificial intelligence: How is it changing medical sciences and its future?","volume":"65","author":"Basu","year":"2020","journal-title":"Indian J Dermatol"},{"issue":"1","key":"10.1016\/j.jaim.2026.101372_bib10","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.jaim.2015.08.002","article-title":"Prakriti-based research: good reporting practices","volume":"7","author":"Bhalerao","year":"2016","journal-title":"J Ayurveda Integr Med"},{"key":"10.1016\/j.jaim.2026.101372_bib11","unstructured":"Anonymous. Manual of Standard Operative Procedures (SoPs) for Prakriti Assessment. 2nd ed. New Delhi: Central Council for Research in Ayurvedic Sciences, Ministry of AYUSH, Government of India. 2020."},{"issue":"2","key":"10.1016\/j.jaim.2026.101372_bib12","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1016\/j.jaim.2021.01.012","article-title":"Correlation of prakriti diagnosis using AyuSoft prakriti diagnostic tool with clinician rating in patients with psychiatric disorders","volume":"12","author":"Bhargav","year":"2021","journal-title":"J Ayurveda Integr Med"},{"issue":"4","key":"10.1016\/j.jaim.2026.101372_bib13","doi-asserted-by":"crossref","DOI":"10.1016\/j.jaim.2025.101157","article-title":"Towards standardization of Prakriti evaluation: A scoping review of modern assessment tools and their psychometric properties in Ayurvedic medicine","volume":"16","author":"Gupta","year":"2025","journal-title":"J Ayurveda Integr Med"},{"key":"10.1016\/j.jaim.2026.101372_bib14","doi-asserted-by":"crossref","DOI":"10.1155\/2013\/658275","article-title":"Interrater reliability of diagnostic methods in traditional Indian Ayurvedic medicine","volume":"2013","author":"Kurande","year":"2013","journal-title":"Evid Based Complement Alternat Med"},{"issue":"5","key":"10.1016\/j.jaim.2026.101372_bib15","doi-asserted-by":"crossref","first-page":"879","DOI":"10.1089\/acm.2004.10.879","article-title":"A biostatistical approach to Ayurveda: quantifying the Tridosha","volume":"10","author":"Joshi","year":"2004","journal-title":"J Altern Complement Med."},{"issue":"10","key":"10.1016\/j.jaim.2026.101372_bib16","doi-asserted-by":"crossref","DOI":"10.2196\/23954","article-title":"Fitbit-Based interventions for healthy lifestyle outcomes: Systematic review and meta-analysis","volume":"22","author":"Ringeval","year":"2020","journal-title":"J Med Internet Res"},{"issue":"22","key":"10.1016\/j.jaim.2026.101372_bib17","doi-asserted-by":"crossref","first-page":"6826","DOI":"10.3390\/jcm11226826","article-title":"Artificial intelligence in dermatology image analysis: Current developments and future trends","volume":"11","author":"Li","year":"2022","journal-title":"J Clin Med"},{"issue":"22","key":"10.1016\/j.jaim.2026.101372_bib18","doi-asserted-by":"crossref","first-page":"6826","DOI":"10.3390\/jcm11226826","article-title":"Artificial intelligence in dermatology image analysis: Current developments and future trends","volume":"11","author":"Li","year":"2022","journal-title":"J Clin Med"},{"issue":"2","key":"10.1016\/j.jaim.2026.101372_bib19","doi-asserted-by":"crossref","first-page":"35","DOI":"10.3390\/jimaging9020035","article-title":"A standardized approach for skin detection: analysis of the literature and case studies","volume":"9","author":"Nanni","year":"2023","journal-title":"J Imaging"},{"key":"10.1016\/j.jaim.2026.101372_bib20","unstructured":"Gadre G. Classification of humans into ayurvedic prakruti types using computer vision [Master\u2019s thesis]. San Jose, CA: San Jose State University; 2019. Available from: https:\/\/scholarworks.sjsu.edu\/etd_projects\/710\/."},{"issue":"4","key":"10.1016\/j.jaim.2026.101372_bib21","doi-asserted-by":"crossref","DOI":"10.1111\/srt.13660","article-title":"Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders","volume":"30","author":"Chowdhury","year":"2024","journal-title":"Skin Res Technol"},{"key":"10.1016\/j.jaim.2026.101372_bib22","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.imavis.2018.02.001","article-title":"Hair detection, segmentation, and hairstyle classification in the wild","volume":"71","author":"Riaz","year":"2018","journal-title":"Image Vis Comput"},{"issue":"4","key":"10.1016\/j.jaim.2026.101372_bib23","first-page":"356","article-title":"Application of artificial intelligence in clinical dentistry: a comprehensive review of literature","volume":"24","author":"Ghods","year":"2023","journal-title":"J Dent (Shiraz)"},{"key":"10.1016\/j.jaim.2026.101372_bib24","doi-asserted-by":"crossref","first-page":"818","DOI":"10.3390\/ma14040818","article-title":"ATR-FTIR analysis of orthodontic Invisalign\u00ae aligners subjected to various in vitro aging treatments","volume":"14","author":"Meme","year":"2021","journal-title":"Materials (Basel)"},{"key":"10.1016\/j.jaim.2026.101372_bib25","article-title":"The development and clinical application of innovative optical ophthalmic imaging techniques","volume":"9","author":"Alexopoulos","year":"2022","journal-title":"Front Med (Lausanne)"},{"issue":"7","key":"10.1016\/j.jaim.2026.101372_bib26","doi-asserted-by":"crossref","first-page":"1105","DOI":"10.3390\/s16071105","article-title":"Real-time detection and measurement of eye features from color images","volume":"16","author":"Borza","year":"2016","journal-title":"Sensors (Basel)"},{"key":"10.1016\/j.jaim.2026.101372_bib27","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1007\/s44196-022-00108-2","article-title":"An eye state recognition system using transfer learning: AlexNet-based deep convolutional network","volume":"15","author":"Kayadibi","year":"2022","journal-title":"Int J Comput Intell Syst."},{"issue":"2","key":"10.1016\/j.jaim.2026.101372_bib28","doi-asserted-by":"crossref","first-page":"302","DOI":"10.3390\/nu15020302","article-title":"Digital anthropometry: a systematic review on precision, reliability and accuracy of most popular existing technologies","volume":"15","author":"Mocini","year":"2023","journal-title":"Nutrients"},{"issue":"1","key":"10.1016\/j.jaim.2026.101372_bib29","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1002\/osp4.467","article-title":"Digital anthropometry for body circumference measurements: Toward the development of universal three-dimensional optical system analysis software","volume":"7","author":"Sobhiyeh","year":"2020","journal-title":"Obes Sci Pract"},{"issue":"12","key":"10.1016\/j.jaim.2026.101372_bib30","doi-asserted-by":"crossref","first-page":"5490","DOI":"10.3390\/s23125490","article-title":"Surface electromyography-driven parameters for representing muscle mass and strength","volume":"23","author":"Sung","year":"2023","journal-title":"Sensors"},{"issue":"1","key":"10.1016\/j.jaim.2026.101372_bib31","doi-asserted-by":"crossref","first-page":"414","DOI":"10.1186\/s12911-024-02840-5","article-title":"Autonomous detection of nail disorders using a hybrid capsule CNN: a novel deep learning approach for early diagnosis","volume":"24","author":"Shandilya","year":"2024","journal-title":"BMC Med Inform Decis Mak"},{"issue":"8","key":"10.1016\/j.jaim.2026.101372_bib32","doi-asserted-by":"crossref","first-page":"1188","DOI":"10.3390\/electronics9081188","article-title":"Past, present, and future of face recognition: A review","volume":"9","author":"Adjabi","year":"2020","journal-title":"Electronics"},{"key":"10.1016\/j.jaim.2026.101372_bib33","unstructured":"Lim MK, Liang KM, Zulaikha K, Tang SL. A method for identity recognition based on lip image (WO2011068395A2). World Intellectual Property Organization. 2011. Available from: https:\/\/patents.google.com\/patent\/WO2011068395A2\/en."},{"issue":"2","key":"10.1016\/j.jaim.2026.101372_bib34","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1515\/mr-2021-0018","article-title":"Digital tongue image analyses for health assessment","volume":"1","author":"Xie","year":"2022","journal-title":"Med Rev (2021)"},{"key":"10.1016\/j.jaim.2026.101372_bib35","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-024-64150-0","article-title":"Tongue image fusion and analysis of thermal and visible images in diabetes mellitus using machine learning techniques","volume":"14","author":"Thirunavukkarasu","year":"2024","journal-title":"Sci Rep"},{"issue":"10","key":"10.1016\/j.jaim.2026.101372_bib36","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0185380","article-title":"Recapitulation of Ayurveda constitution types by machine learning of phenotypic traits","volume":"12","author":"Tiwari","year":"2017","journal-title":"PLoS One"},{"key":"10.1016\/j.jaim.2026.101372_bib37","doi-asserted-by":"crossref","DOI":"10.3389\/frobt.2021.749274","article-title":"A Survey of Human Gait-Based Artificial Intelligence Applications","volume":"8","author":"Harris","year":"2022","journal-title":"Front Robot AI"},{"key":"10.1016\/j.jaim.2026.101372_bib38","article-title":"Explainable AI in human motion: A comprehensive approach to analysis, modeling, and generation","volume":"151","author":"Olivas-Padilla","year":"2025","journal-title":"Pattern Recognit"},{"issue":"A","key":"10.1016\/j.jaim.2026.101372_bib39","article-title":"Voice disorder detection using machine learning algorithms: An application in speech and language pathology","volume":"133","author":"Rehman","year":"2024","journal-title":"Eng Appl Artif Intell"},{"issue":"20","key":"10.1016\/j.jaim.2026.101372_bib40","doi-asserted-by":"crossref","first-page":"7711","DOI":"10.3390\/s22207711","article-title":"Machine learning approach to hunger detection using wearable sensors","volume":"22","author":"Irshad","year":"2022","journal-title":"Sensors (Basel)"},{"issue":"45","key":"10.1016\/j.jaim.2026.101372_bib41","doi-asserted-by":"crossref","first-page":"15864","DOI":"10.1021\/acs.analchem.2c03927","article-title":"Explainable deep-learning-assisted sweat assessment via a programmable colorimetric chip","volume":"94","author":"Liu","year":"2022","journal-title":"Anal Chem"},{"issue":"681","key":"10.1016\/j.jaim.2026.101372_bib42","doi-asserted-by":"crossref","first-page":"eabk3489","DOI":"10.1126\/scitranslmed.abk3489","article-title":"Passive monitoring by smart toilets for precision health","volume":"15","author":"Ge","year":"2023","journal-title":"Sci Transl Med"},{"key":"10.1016\/j.jaim.2026.101372_bib43","first-page":"2997","article-title":"Sensors selection for continuous monitoring of bowel state and activity","volume":"2018","author":"Smiley","year":"2018","journal-title":"Annu Int Conf IEEE Eng Med Biol Soc"},{"issue":"2","key":"10.1016\/j.jaim.2026.101372_bib44","doi-asserted-by":"crossref","first-page":"167","DOI":"10.3390\/bioengineering10020167","article-title":"Machine learning-based respiration rate and blood oxygen saturation estimation using Photoplethysmogram signals","volume":"10","author":"Shuzan","year":"2023","journal-title":"Bioengineering (Basel)"},{"issue":"4","key":"10.1016\/j.jaim.2026.101372_bib45","first-page":"730","article-title":"A reliability test for the body constitution diagnosis using wrist pulse analysis based on Ayurveda","volume":"21","author":"Rao","year":"2022","journal-title":"Indian J Tradit Knowl"},{"key":"10.1016\/j.jaim.2026.101372_bib46","first-page":"2207","article-title":"Nadi Tarangini: a pulse based diagnostic system","volume":"2007","author":"Joshi","year":"2007","journal-title":"Annu Int Conf IEEE Eng Med Biol Soc"},{"issue":"1","key":"10.1016\/j.jaim.2026.101372_bib47","doi-asserted-by":"crossref","first-page":"13","DOI":"10.3390\/ctn8010013","article-title":"Sleep research in the era of AI","volume":"8","author":"Goktepe","year":"2024","journal-title":"Clin Transl Neurosci"},{"issue":"1","key":"10.1016\/j.jaim.2026.101372_bib48","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1007\/s11325-022-02592-4","article-title":"Clinical applications of artificial intelligence in sleep medicine: a sleep clinician's perspective","volume":"27","author":"Bandyopadhyay","year":"2023","journal-title":"Sleep Breath"},{"issue":"4","key":"10.1016\/j.jaim.2026.101372_bib49","doi-asserted-by":"crossref","first-page":"219","DOI":"10.12965\/jer.2346242.121","article-title":"Motion prediction using brain waves based on artificial intelligence deep learning recurrent neural network","volume":"19","author":"Yoo","year":"2023","journal-title":"J Exerc Rehabil"},{"key":"10.1016\/j.jaim.2026.101372_bib50","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1016\/j.sleep.2024.01.020","article-title":"Validity and reliability of the Oura Ring Generation 3 (Gen3) with Oura sleep staging algorithm 2.0 (OSSA 2.0) when compared to multi-night ambulatory polysomnography: A validation study of 96 participants and 421,045 epochs","volume":"115","author":"Svensson","year":"2024","journal-title":"Sleep Med"},{"issue":"3","key":"10.1016\/j.jaim.2026.101372_bib51","doi-asserted-by":"crossref","first-page":"162","DOI":"10.26599\/BSA.2020.9050017","article-title":"A review of artificial intelligence for EEG\u2010based brain computer interfaces and applications","volume":"6","author":"Cao","year":"2020","journal-title":"Brain Science Advances"},{"key":"10.1016\/j.jaim.2026.101372_bib52","doi-asserted-by":"crossref","DOI":"10.3389\/fnins.2022.1024316","article-title":"Cognitive psychology-based artificial intelligence review","volume":"16","author":"Zhao","year":"2022","journal-title":"Front Neurosci"},{"issue":"4","key":"10.1016\/j.jaim.2026.101372_bib53","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1080\/0361073X.2021.1981096","article-title":"Initial adaptation of the general cognitive assessment battery by Cognifit\u2122 for Bulgarian older adults","volume":"48","author":"Yaneva","year":"2022","journal-title":"Exp Aging Res"},{"key":"10.1016\/j.jaim.2026.101372_bib54","doi-asserted-by":"crossref","first-page":"63","DOI":"10.12659\/MSMBR.909022","article-title":"Brain training games enhance cognitive function in healthy subjects","volume":"24","author":"Al-Thaqib","year":"2018","journal-title":"Med Sci Monit Basic Res"},{"key":"10.1016\/j.jaim.2026.101372_bib55","article-title":"Artificial intelligence and human decision making: Exploring similarities in cognitive bias","volume":"4","author":"Campbell","year":"2025","journal-title":"Comput Hum Behav Artif Humans"},{"issue":"8","key":"10.1016\/j.jaim.2026.101372_bib56","doi-asserted-by":"crossref","first-page":"4657","DOI":"10.1097\/MS9.0000000000002315","article-title":"Exploring emotional intelligence in artificial intelligence systems: a comprehensive analysis of emotion recognition and response mechanisms","volume":"86","author":"Narimisaei","year":"2024","journal-title":"Ann Med Surg (Lond)."},{"key":"10.1016\/j.jaim.2026.101372_bib57","article-title":"Emotion analysis based on deep learning with application to research on development of western culture","volume":"13","author":"Chen","year":"2022","journal-title":"Front Psychol"},{"issue":"2","key":"10.1016\/j.jaim.2026.101372_bib58","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1177\/1088868318772990","article-title":"Using machine learning to advance personality assessment and theory","volume":"23","author":"Bleidorn","year":"2019","journal-title":"Pers Soc Psychol Rev"},{"key":"10.1016\/j.jaim.2026.101372_bib59","doi-asserted-by":"crossref","DOI":"10.2196\/60286","article-title":"Psychological and behavioral insights from social media users: Natural Language Processing-based quantitative study on mental well-being","volume":"9","author":"Yang","year":"2025","journal-title":"JMIR Form Res"},{"issue":"1","key":"10.1016\/j.jaim.2026.101372_bib60","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1108\/OIR-03-2018-0093","article-title":"Social media analytics: Analysis and visualisation of news diffusion using NodeXL","volume":"43","author":"Ahmed","year":"2018","journal-title":"Online Inf Rev"},{"issue":"5","key":"10.1016\/j.jaim.2026.101372_bib61","doi-asserted-by":"crossref","first-page":"544","DOI":"10.1136\/amiajnl-2011-000464","article-title":"Natural language processing: an introduction","volume":"18","author":"Nadkarni","year":"2011","journal-title":"J Am Med Inform Assoc"},{"key":"10.1016\/j.jaim.2026.101372_bib62","doi-asserted-by":"crossref","DOI":"10.1016\/j.mex.2025.103359","article-title":"Bridging language gaps: The role of NLP and speech recognition in oral English instruction","volume":"14","author":"Dubey","year":"2025","journal-title":"MethodsX"},{"key":"10.1016\/j.jaim.2026.101372_bib63","doi-asserted-by":"crossref","first-page":"669","DOI":"10.12688\/wellcomeopenres.25166.2","article-title":"The Brief Prakriti Inventory: latent structure, reliability, and validity","volume":"10","author":"Bhargav","year":"2026","journal-title":"Wellcome Open Res"},{"issue":"5","key":"10.1016\/j.jaim.2026.101372_bib64","doi-asserted-by":"crossref","first-page":"2531","DOI":"10.64252\/c0a7ww05","article-title":"Artificial intelligence for objective Prakriti assessment in Ayurveda: a multimodal approach","volume":"11","author":"Kottawar","year":"2025","journal-title":"Int J Environ Sci"},{"issue":"2","key":"10.1016\/j.jaim.2026.101372_bib65","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1177\/1088868318772990","article-title":"Using machine learning to advance personality assessment and theory","volume":"23","author":"Bleidorn","year":"2019","journal-title":"Pers Soc Psychol Rev"},{"key":"10.1016\/j.jaim.2026.101372_bib66","article-title":"Prakriti (constitutional typology) in Ayurveda: a critical review of Prakriti assessment tools and their scientific validity","volume":"12","author":"Venkatesh","year":"2025","journal-title":"Front Med (Lausanne)"},{"issue":"3","key":"10.1016\/j.jaim.2026.101372_bib67","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.jtcme.2025.02.009","article-title":"A review of recent artificial intelligence for traditional medicine","volume":"15","author":"Hou","year":"2025","journal-title":"J Tradit Complement Med"},{"issue":"10","key":"10.1016\/j.jaim.2026.101372_bib68","first-page":"54","article-title":"Integrating LLM AI Models for Ayurveda Medical Diagnosis and Treatment","volume":"4","author":"Ray","year":"2024","journal-title":"Compassionate AI"},{"issue":"5","key":"10.1016\/j.jaim.2026.101372_bib69","doi-asserted-by":"crossref","first-page":"1597","DOI":"10.4103\/jfmpc.jfmpc_1234_24","article-title":"Policy mandates for Ayush in National Health Policy-2017: Achievements, impediments, and future prospects","volume":"14","author":"Kumar","year":"2025","journal-title":"J Family Med Prim Care"},{"issue":"2","key":"10.1016\/j.jaim.2026.101372_bib70","doi-asserted-by":"crossref","DOI":"10.1016\/j.jaim.2021.07.014","article-title":"AYUSH digital initiatives: Harnessing the power of digital technology for India's traditional medical systems","volume":"13","author":"Muthappan","year":"2022","journal-title":"J Ayurveda Integr Med"},{"issue":"11","key":"10.1016\/j.jaim.2026.101372_bib71","first-page":"i","article-title":"Ethical issues of artificial intelligence in medicine and healthcare","volume":"50","author":"Farhud","year":"2021","journal-title":"Iran J Public Health"},{"key":"10.1016\/j.jaim.2026.101372_bib72","unstructured":"Ministry of Communications, Government of India. Telecommunication Engineering Centre and Indraprastha Institute of Information Technology sign MoU for collaboration in the area of trustworthy and responsible artificial intelligence systems [press release]. New Delhi: Press Information Bureau; 2023 Nov 3 [cited 2025 Sep 30]. Available from: https:\/\/www.pib.gov.in\/PressReleasePage.aspx?PRID=1974602."},{"key":"10.1016\/j.jaim.2026.101372_bib73","unstructured":"World Health Organization. WHO releases AI ethics and governance guidance for large multi-modal models [press release]. Geneva: World Health Organization; 2024 Jan 18 [cited 2025 Sep 30]. Available from: https:\/\/www.who.int\/news\/item\/18-01-2024-who-releases-ai-ethics-and-governance-guidance-for-large-multi-modal-models."}],"container-title":["Journal of Ayurveda and Integrative Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0975947626000562?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0975947626000562?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T20:36:35Z","timestamp":1792787795000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0975947626000562"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":73,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2026,9]]}},"alternative-id":["S0975947626000562"],"URL":"https:\/\/doi.org\/10.1016\/j.jaim.2026.101372","relation":{},"ISSN":["0975-9476"],"issn-type":[{"value":"0975-9476","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Artificial Intelligence and Digital Technologies in Prakriti Assessment: Toward Standardized Evidence-Based Ayurvedic Practice","name":"articletitle","label":"Article Title"},{"value":"Journal of Ayurveda and Integrative Medicine","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jaim.2026.101372","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier B.V. on behalf of Institute of Transdisciplinary Health Science and Technology and World Ayurveda Foundation.","name":"copyright","label":"Copyright"}],"article-number":"101372"}}