[Artificial intelligence for italian medicine: navigating between innovation and practice.]

Q3 Medicine
Francesco Baglivo, Diana Ferro, Giacomo Diedenhofen
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引用次数: 0

Abstract

"Artificial intelligence is transforming healthcare": this sentence is now so common it risks losing meaning. Technology alone does not change systems, people do: clinicians, researchers, decision-makers, and patients. AI is a lever, but without a fulcrum of skills, vision, and responsibility, it moves nothing. This conviction is at the core of the Italian Society for Artificial Intelligence in Medicine (SIIAM) and of the 3rd Annual Meeting (Naples, October 10-11, 2025). Our aim is not to celebrate technology for its own sake, but to bring together a multidisciplinary community capable of deciding how to use AI responsibly in the Italian healthcare system. This issue of Recenti Progressi in Medicina presents the collective output of this effort: commentaries by the Scientific Committee and contributions from participants. It is shown how rules and principles can be translated into practice, how Italian healthcare can evolve toward a Learning Health System, and why responsible infrastructures and evaluation frameworks are needed to guide AI innovation. Case studies highlight both promising advances and pitfalls to avoid. The central question is not whether AI will change medicine, but how we can use it to have a more equitable, proactive, sustainable and personalized one? If the lever is AI, the fulcrum remains the people and organizations who care for others. It is on this fulcrum that SIIAM continues to work, with rigor, openness, and trust, so that innovation becomes daily practice for the benefit of patients and professionals alike.

意大利医学的人工智能:在创新与实践之间导航。
“人工智能正在改变医疗保健”:这句话现在太常见了,以至于有失去意义的危险。技术本身不能改变系统,改变系统的是人:临床医生、研究人员、决策者和患者。人工智能是一个杠杆,但如果没有技能、愿景和责任的支点,它将一事无成。这一信念是意大利医学人工智能学会(SIIAM)和第三届年会(2025年10月10日至11日,那不勒斯)的核心。我们的目标不是为了技术本身而庆祝技术,而是将一个能够决定如何在意大利医疗保健系统中负责任地使用人工智能的多学科社区聚集在一起。本期《医学进展》介绍了这一努力的集体成果:科学委员会的评论和参与者的贡献。它展示了规则和原则如何转化为实践,意大利医疗保健如何向学习型医疗系统发展,以及为什么需要负责任的基础设施和评估框架来指导人工智能创新。案例研究强调了有希望的进步和需要避免的陷阱。核心问题不是人工智能是否会改变医学,而是我们如何利用它来创造一个更加公平、主动、可持续和个性化的医学。如果杠杆是人工智能,支点仍然是关心他人的人和组织。正是在这个支点上,SIIAM继续以严谨、开放和信任的态度工作,使创新成为患者和专业人员的日常实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Recenti progressi in medicina
Recenti progressi in medicina Medicine-Medicine (all)
CiteScore
0.90
自引率
0.00%
发文量
143
期刊介绍: Giunta ormai al sessantesimo anno, Recenti Progressi in Medicina continua a costituire un sicuro punto di riferimento ed uno strumento di lavoro fondamentale per l"ampliamento dell"orizzonte culturale del medico italiano. Recenti Progressi in Medicina è una rivista di medicina interna. Ciò significa il recupero di un"ottica globale e integrata, idonea ad evitare sia i particolarismi della informazione specialistica sia la frammentazione di quella generalista.
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