Kusztos Victoria E, Simonetto Douglas A
Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA.
J Clin Exp Hepatol. 2025 Sep-Oct;15(5):102579. doi: 10.1016/j.jceh.2025.102579. Epub 2025 Apr 14.
Artificial intelligence (AI) presents a compelling opportunity to revolutionize the practice of hepatology through a myriad of novel approaches ranging from predictive modeling to patient-specific clinical decision support systems. While AI will undoubtedly transform clinical practice in the coming years, there remains an evolving set of challenges to the implementation of AI. In this review article, we address technical and stakeholder barriers to the adoption of AI and potential repercussions if they remain unaddressed. We highlight strategies to mitigate these potential pitfalls and the need for prospective research to confirm model validity. Lastly, we look to the future of what AI in clinical practice will mean for patients and clinicians.
人工智能（AI）提供了一个极具吸引力的机会，可通过从预测建模到针对特定患者的临床决策支持系统等众多新颖方法，彻底改变肝病学的实践。虽然人工智能无疑将在未来几年改变临床实践，但在人工智能的实施方面仍存在一系列不断演变的挑战。在这篇综述文章中，我们探讨了采用人工智能的技术和利益相关者障碍，以及如果这些障碍得不到解决可能产生的影响。我们强调了减轻这些潜在陷阱的策略以及进行前瞻性研究以确认模型有效性的必要性。最后，我们展望临床实践中的人工智能对患者和临床医生意味着什么的未来。
