*Result*: Artificial intelligence in medicine: a position paper by the Italian Society of Internal Medicine.
Title:
Artificial intelligence in medicine: a position paper by the Italian Society of Internal Medicine.
Authors:
Balsano C; Geriatric Unit, School of Emergency-Urgency Medicine, Department of Life, Health and Environmental Sciences-MESVA, University of L'Aquila, L'Aquila, Italy., Cabitza F; Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy.; IRCCS Ospedale Galeazzi Sant'Ambrogio, Milan, Italy., Cicco S; Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), Unit of Internal Medicine 'Guido Baccelli', University of Bari Aldo Moro, Bari, Italy. sebastiano.cicco@uniba.it.; Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), Telemedicine Research Center, University of Bari Aldo Moro, Bari, Italy. sebastiano.cicco@uniba.it., Gori M; Department of Information Engineering and Mathematics, University of Siena, Siena, Italy., Malerba D; Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), Telemedicine Research Center, University of Bari Aldo Moro, Bari, Italy.; Department of Informatics, University of Bari Aldo Moro, Bari, Italy., Montagna M; School of Medicine, Vita-Salute San Raffaele University, Milan, Italy. montagna.marco@hsr.it., Tarquini R; SOC Medicina Interna, USL Toscana Centro, Empoli, Italy., Vacca A; Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), Unit of Internal Medicine 'Guido Baccelli', University of Bari Aldo Moro, Bari, Italy.; Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), Telemedicine Research Center, University of Bari Aldo Moro, Bari, Italy.
Corporate Authors:
Source:
Internal and emergency medicine [Intern Emerg Med] 2026 Jan; Vol. 21 (1), pp. 1-14. Date of Electronic Publication: 2025 Dec 19.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Springer Country of Publication: Italy NLM ID: 101263418 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1970-9366 (Electronic) Linking ISSN: 18280447 NLM ISO Abbreviation: Intern Emerg Med Subsets: MEDLINE
Imprint Name(s):
Publication: Milan : Springer
Original Publication: Rome, Italy : CEPI-AIM Group, 2006-
Original Publication: Rome, Italy : CEPI-AIM Group, 2006-
MeSH Terms:
References:
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Contributed Indexing:
Keywords: Advocacy; Checklists; Explainable AI; Key opinion leaders; Machine learning; Recommendations
Entry Date(s):
Date Created: 20251219 Date Completed: 20260307 Latest Revision: 20260307
Update Code:
20260308
PubMed Central ID:
PMC12948900
DOI:
10.1007/s11739-025-04146-4
PMID:
41417443
Database:
MEDLINE
*Further Information*
*Artificial Intelligence (AI) represents an innovative technological support for clinical practice. The Italian Society of Internal Medicine (SIMI) emphasizes the need for clear guidance on the use of AI in medicine, recognizing that knowledge in this field is continuously evolving. This position paper presents a comprehensive vision for the responsible integration of AI into clinical practice. AI should serve as a support tool-not a replacement-for clinicians. It has the potential to improve diagnostic accuracy, reduce administrative workload, and strengthen the physician-patient relationship. In the light of these characteristics, SIMI advocates for transparency, data privacy, equity, and sustainability in the development and implementation of AI systems. SIMI also highlights several ethical, legal, and methodological challenges that must be addressed, including algorithmic bias, environmental impact, and disparities in access. Ultimately, SIMI envisions a future in which AI augments human expertise, enabling more efficient, personalized, and compassionate care. SIMI calls for active clinician participation in the co-design and validation of AI tools to ensure alignment with real-world clinical needs. Key recommendations include the preferential use of certified AI systems, the integration of AI education into medical training, and continuous monitoring after deployment.
(© 2025. The Author(s).)*
*Declarations. Conflict of interest: The authors declare no conflict of interest. Human and animal rights statement and Informed consent: This article does not contain any study regarding human or animal subjects.*