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Artificial intelligence in medicine: a position paper by the Italian Society of Internal Medicine

Articolo
Data di Pubblicazione:
2025
Citazione:
Artificial intelligence in medicine: a position paper by the Italian Society of Internal Medicine / Balsano, Clara; Cabitza, Federico; Cicco, Sebastiano; Gori, Marco; Malerba, Donato; Montagna, Marco; Tarquini, Roberto; Vacca, Angelo; Null, Null. - In: INTERNAL AND EMERGENCY MEDICINE. - ISSN 1828-0447. - (2025). [10.1007/s11739-025-04146-4]
Abstract:
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 implemen- tation 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 recom- mendations include the preferential use of certified AI systems, the integration of AI education into medical training, and continuous monitoring after deployment.
Tipologia CRIS:
1.1.4. Guidelines, Consensus
Elenco autori:
Balsano, Clara; Cabitza, Federico; Cicco, Sebastiano; Gori, Marco; Malerba, Donato; Montagna, Marco; Tarquini, Roberto; Vacca, Angelo; Null, Null
Link alla scheda completa:
https://iris.unisr.it/handle/20.500.11768/194797
Link al Full Text:
https://iris.unisr.it//retrieve/handle/20.500.11768/194797/339314/unpaywall-bitstream-1184904113.pdf
Pubblicato in:
INTERNAL AND EMERGENCY MEDICINE
Journal
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URL

https://link.springer.com/article/10.1007/s11739-025-04146-4
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