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SYSTEMATIC REVIEW article
Front. Digit. Health
Sec. Health Technology Implementation
Volume 7 - 2025 | doi: 10.3389/fdgth.2025.1400338
Convergence of Disciplines: A Systematic Review of Multidisciplinary Development Approaches in Artificial Intelligence
Provisionally accepted- University of Foggia, Foggia, Italy
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The aim of this paper is to explore the transformative potential of a multidisciplinary approach to artificial intelligence (AI). The integration of AI with various fields is fostering a new era of innovation and collaboration. This paper delves into the background of this multidisciplinary approach, showcasing how AI's intersection with diverse domains like medicine, psychology, agriculture, mathematics, physics, and economics is reshaping traditional practices and opening new pathways for problem-solving and advancement. A systematic search was conducted in PubMed, Scopus and Google Scholar for articles published from 2013 to August 2023. The reference lists of the included studies were also searched to retrieve possible additional studies. The analysis of the reviewed studies underscores the broad impact of the multidisciplinary approach to artificial intelligence. From aiding medical diagnosis and treatment planning to revolutionizing mental health interventions and addressing global agricultural challenges, AI's integration is reshaping conventional practices across disciplines. The results highlight how the fusion of AI with diverse fields is paving the way for innovative solutions and driving positive change. Our investigation highlighted the remarkable potential of multidisciplinary collaboration with artificial intelligence. This paper aims to fill the aforementioned gap by performing a systematic review guided by the research question: How has the adoption of a multidisciplinary approach influenced the development of artificial intelligence in diverse fields, including medicine, psychology, history, physics, and other disciplines, and what notable outcomes have been achieved in recent years? This review adhered to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) 2020 recommendations (Page et al. 2020). A search was conducted on two databases, namely PubMed and Scopus, targeting English-language articles. The timeframe for the articles encompassed the period between 2013 and August 2023, with a focus on articles that elucidate the interplay of artificial intelligence and its integration within multidisciplinary contexts.
Keywords: artificial intelligence, multidisciplinary approach, Medicine, Psychology, Agriculture, Mathematics, Physics, Economics
Received: 13 Mar 2024; Accepted: 26 Mar 2025.
Copyright: © 2025 Toto, Grilli, Traetta, Villani, Petito and Serviddio. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Giusi Antonia Toto, University of Foggia, Foggia, Italy
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.