{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T09:54:41Z","timestamp":1787910881101,"version":"build-2784847793"},"reference-count":36,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,8,13]],"date-time":"2025-08-13T00:00:00Z","timestamp":1755043200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Digit. Health"],"abstract":"<jats:p>The integration of artificial intelligence (AI) across multiple disciplines is fostering a transformative shift in research and practice. This paper explores how multidisciplinary collaboration with AI is reshaping traditional methodologies and catalyzing innovation in diverse fields such as medicine, psychology, agriculture, mathematics, physics, and economics. A systematic review was conducted following the PRISMA 2020 guidelines. Relevant literature was identified through searches in PubMed, Scopus, and Google Scholar, covering publications from 2013 to August 2023. Inclusion criteria focused on English-language articles examining the intersection of AI and multidisciplinary applications. Additional studies were identified by screening reference lists of included articles. The analysis revealed that AI's multidisciplinary integration has significantly influenced practices across multiple domains. In medicine, AI supports diagnosis and treatment planning; in psychology, it enhances mental health interventions; and in agriculture, it contributes to addressing global food security challenges. The reviewed literature highlights how AI collaboration with fields such as physics, economics, and history is leading to innovative problem-solving strategies and paradigm shifts. The findings underscore the substantial potential of a multidisciplinary approach to AI. This convergence is not only accelerating technological advancement but also fostering more comprehensive and effective solutions to complex global issues. The results suggest that ongoing interdisciplinary collaboration will be critical in maximizing AI's societal impact and shaping its future development.<\/jats:p>","DOI":"10.3389\/fdgth.2025.1400338","type":"journal-article","created":{"date-parts":[[2025,8,13]],"date-time":"2025-08-13T05:35:45Z","timestamp":1755063345000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Convergence of disciplines: a systematic review of multidisciplinary development approaches in artificial intelligence"],"prefix":"10.3389","volume":"7","author":[{"given":"Giusi Antonia","family":"Toto","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luca","family":"Grilli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luigi","family":"Traetta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rosanna","family":"Villani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Annamaria","family":"Petito","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gaetano","family":"Serviddio","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2025,8,13]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"1433","DOI":"10.25300\/MISQ\/2021\/16274","article-title":"Managing artificial intelligence","volume":"45","author":"Berente","year":"2021","journal-title":"MIS Q"},{"key":"B2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1162\/99608f92.f06c6e61","article-title":"Artificial intelligence\u2014the revolution hasn\u2019t happened yet","volume":"1","author":"Jordan","year":"2019","journal-title":"Harv Data Sci Rev"},{"key":"B3","doi-asserted-by":"publisher","first-page":"100224","DOI":"10.1016\/j.jii.2021.100224","article-title":"Study on artificial intelligence: the state of the art and future prospects","volume":"23","author":"Zhang","year":"2021","journal-title":"J Ind Inf Integr"},{"key":"B4","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1038\/s41746-020-00376-2","article-title":"Deep learning-enabled medical computer vision","volume":"4","author":"Esteva","year":"2021","journal-title":"NPJ Digit Med"},{"key":"B5","doi-asserted-by":"crossref","DOI":"10.1016\/j.xcrm.2022.100794","volume-title":"Deep Generative Molecular Design Reshapes Drug Discovery","author":"Zeng","year":"2022"},{"key":"B6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11747-019-00711-4","article-title":"The future of technology and marketing: a multidisciplinary perspective","volume":"48","author":"Grewal","year":"2020","journal-title":"J Acad Mark Sci"},{"key":"B7","doi-asserted-by":"publisher","first-page":"n71","DOI":"10.1136\/bmj.n71","article-title":"The PRISMA 2020 statement: an updated guideline for reporting systematic reviews","volume":"372","author":"Page","year":"2021","journal-title":"BMJ"},{"key":"B8","doi-asserted-by":"publisher","first-page":"100888","DOI":"10.1016\/j.imr.2022.100888","article-title":"Artificial intelligence in ophthalmology: a multidisciplinary approach","volume":"11","author":"Ahuja","year":"2022","journal-title":"Integr Med Res"},{"key":"B9","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/j.breast.2020.01.008","article-title":"Using artificial intelligence to analyse and teach communication in healthcare","volume":"50","author":"Butow","year":"2020","journal-title":"Breast"},{"key":"B10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.breast.2019.12.015","article-title":"Teaching cross-cultural design thinking for 470 healthcare","volume":"50","author":"Ferreira","year":"2020","journal-title":"Breast"},{"key":"B11","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/j.cca.2020.06.001","article-title":"Collaborative AI and laboratory medicine integration in precision cardiovascular medicine","volume":"509","author":"Gruson","year":"2020","journal-title":"Clin Chim Acta"},{"key":"B12","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1097\/BS9.0000000000000130","article-title":"Artificial intelligence and its applications in digital hematopathology","volume":"4","author":"Hu","year":"2022","journal-title":"Blood Sci"},{"key":"B13","doi-asserted-by":"publisher","first-page":"2011","DOI":"10.1007\/s11605-020-04802-4","article-title":"Artificial intelligence-assisted colonoscopy for detection of colon polyps: a prospective, randomized cohort study","volume":"25","author":"Luo","year":"2021","journal-title":"J Gastrointest Surg"},{"key":"B14","doi-asserted-by":"publisher","first-page":"10","DOI":"10.14366\/usg.22110","article-title":"Artificial intelligence models for the diagnosis and management of liver diseases","volume":"42","author":"Nishida","year":"2023","journal-title":"Ultrasonography"},{"key":"B15","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1177\/0141076818815510","article-title":"Artificial intelligence-enabled healthcare delivery","volume":"112","author":"Reddy","year":"2019","journal-title":"J R Soc Med"},{"key":"B16","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1055\/a-1852-0330","article-title":"Artificial intelligence-assisted optical diagnosis for the resect-and-discard strategy in clinical practice: the artificial intelligence BLI characterization (ABC) study","volume":"55","author":"Rondonotti","year":"2023","journal-title":"Endoscopy"},{"key":"B17","doi-asserted-by":"publisher","first-page":"20552076231186520","DOI":"10.1177\/20552076231186520","article-title":"Artificial intelligence in healthcare: complementing, not replacing, doctors and healthcare 554 providers","volume":"9","author":"Sezgin","year":"2023","journal-title":"Digit Health"},{"key":"B18","doi-asserted-by":"publisher","first-page":"100861","DOI":"10.1016\/j.xcrm.2022.100861","article-title":"AI in medicine: where are we now and where are we going?","volume":"3","author":"Shandhi","year":"2022","journal-title":"Cell Rep Med"},{"key":"B19","doi-asserted-by":"publisher","first-page":"e0251553","DOI":"10.1371\/journal.pone.0251553","article-title":"Artificial intelligence for classifying uncertain images by humans in determining choroidal vascular running pattern and comparisons with automated classification between artificial intelligence","volume":"16","author":"Sonoda","year":"2021","journal-title":"PLoS One"},{"key":"B20","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1152\/physiolgenomics.00119.2017","article-title":"Artificial intelligence, physiological genomics, and precision medicine","volume":"50","author":"Williams","year":"2018","journal-title":"Physiol Genomics"},{"key":"B21","doi-asserted-by":"publisher","first-page":"570","DOI":"10.1017\/s1352465817000820","article-title":"Manage your life online: a web-based randomized controlled trial evaluating the effectiveness of a problem-solving intervention in a student sample","volume":"46","author":"Bird","year":"2018","journal-title":"Behav Cogn Psychother"},{"key":"B22","doi-asserted-by":"publisher","first-page":"e21283","DOI":"10.2196\/21283","article-title":"Effectiveness of a smartphone app with a wearable activity tracker in preventing the recurrence of mood disorders: prospective case-control study","volume":"7","author":"Cho","year":"2020","journal-title":"JMIR Ment Health"},{"key":"B23","doi-asserted-by":"publisher","first-page":"e64","DOI":"10.2196\/mental.9782","article-title":"Using psychological artificial intelligence (tess) to relieve symptoms of depression and anxiety: randomized controlled trial","volume":"5","author":"Fulmer","year":"2018","journal-title":"JMIR Ment Health"},{"key":"B24","doi-asserted-by":"publisher","first-page":"e17895","DOI":"10.2196\/17895","article-title":"Expanding access to perinatal depression treatment in Kenya through automated psychological support: development and usability study","volume":"4","author":"Green","year":"2020","journal-title":"JMIR Form Res"},{"key":"B25","doi-asserted-by":"publisher","first-page":"e12106","DOI":"10.2196\/12106","article-title":"An empathy-driven, conversational artificial intelligence agent (wysa) for digital mental well-being: real-world data evaluation mixed-methods study","volume":"6","author":"Inkster","year":"2018","journal-title":"JMIR Mhealth Uhealth"},{"key":"B26","doi-asserted-by":"publisher","first-page":"100495","DOI":"10.1016\/j.invent.2022.100495","article-title":"Using AI chatbots to provide self-help depression interventions for university students: a randomized trial of effectiveness","volume":"27","author":"Liu","year":"2022","journal-title":"Internet Interv"},{"key":"B27","doi-asserted-by":"publisher","first-page":"975","DOI":"10.1001\/jamainternmed.2022.3178","article-title":"Patient-Centered pain care using artificial intelligence and Mobile health tools","volume":"182","author":"Piette","year":"2022","journal-title":"JAMA Intern Med"},{"key":"B28","doi-asserted-by":"publisher","first-page":"e46781","DOI":"10.2196\/46781","article-title":"Effects of an artificial intelligence platform for behavioral interventions on depression and anxiety symptoms: randomized clinical trial","volume":"25","author":"Sadeh-Sharvit","year":"2023","journal-title":"J Med Internet Res"},{"key":"B29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2021\/5584754","article-title":"Artificial intelligence to improve the food and agriculture sector","volume":"2021","author":"Ben Ayed","year":"2021","journal-title":"J Food Qual"},{"key":"B30","doi-asserted-by":"publisher","first-page":"115269","DOI":"10.1016\/j.ecoenv.2023.115269","article-title":"A novel AI-based approach for modelling the fate, transportation and prediction of chromium in rivers and agricultural crops: a case study in Iran","volume":"263","author":"Montazeri","year":"2023","journal-title":"Ecotoxicol Environ Saf"},{"key":"B31","doi-asserted-by":"publisher","first-page":"102390","DOI":"10.1016\/j.artmed.2022.102390","article-title":"Mathematical modeling and AI-based decision making for COVID-19 suspects backed by novel distance and similarity measures on plithogenic hypersoft sets","volume":"132","author":"Ahmad","year":"2022","journal-title":"Artif Intell Med"},{"key":"B32","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1038\/s41586-021-04086-x","article-title":"Advancing mathematics by guiding human intuition with AI","volume":"600","author":"Davies","year":"2021","journal-title":"Nature"},{"key":"B33","doi-asserted-by":"publisher","first-page":"107643","DOI":"10.1016\/j.asoc.2021.107643","article-title":"Real-time prediction of COVID-19 patients\u2019 health situations using artificial neural networks and fuzzy interval mathematical modeling","volume":"110","author":"Elleuch","year":"2021","journal-title":"Appl Soft Comput"},{"key":"B34","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/j.ejmp.2020.11.037","article-title":"Artificial intelligence in the medical physics community: an international survey","volume":"81","author":"Diaz","year":"2021","journal-title":"Phys Med"},{"key":"B35","doi-asserted-by":"publisher","first-page":"120480","DOI":"10.1016\/j.techfore.2020.120480","article-title":"Export sales forecasting using artificial intelligence","volume":"163","author":"Sohrabpour","year":"2020","journal-title":"Technol Forecast Soc Change"},{"key":"B36","doi-asserted-by":"publisher","first-page":"11862","DOI":"10.1038\/s41598-019-48263-5","article-title":"Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning","volume":"9","author":"Makino","year":"2019","journal-title":"Sci Rep"}],"container-title":["Frontiers in Digital Health"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fdgth.2025.1400338\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,13]],"date-time":"2025-08-13T05:35:46Z","timestamp":1755063346000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fdgth.2025.1400338\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,13]]},"references-count":36,"alternative-id":["10.3389\/fdgth.2025.1400338"],"URL":"https:\/\/doi.org\/10.3389\/fdgth.2025.1400338","relation":{},"ISSN":["2673-253X"],"issn-type":[{"value":"2673-253X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,13]]},"article-number":"1400338"}}