Bridging the gaps: Overcoming challenges of implementing AI in healthcare.

IF 12.8 Q1 MEDICINE, RESEARCH & EXPERIMENTAL

Med Pub Date : 2025-04-11 DOI:10.1016/j.medj.2025.100666

Xiaoyun Huang, Lei Gu, Jian Sun, Roland Eils

引用次数: 0

Abstract

Artificial intelligence (AI) in healthcare promises transformative advancements, from enhancing diagnostics to optimizing personalized treatments. Realizing its full potential, however, requires addressing key challenges, including explainability, bias & fairness, infrastructure, privacy, security, as well as ethical, regulatory and educational challenges. Bridging these gaps is essential to ensure AI's equitable and effective integration into clinical practice.

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弥合差距：克服在医疗保健中实施人工智能的挑战。

医疗保健领域的人工智能（AI）有望带来变革性进步，从增强诊断到优化个性化治疗。然而，要充分发挥其潜力，需要解决关键挑战，包括可解释性、偏见和公平性、基础设施、隐私、安全，以及道德、监管和教育方面的挑战。弥合这些差距对于确保人工智能公平有效地融入临床实践至关重要。

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

Med MEDICINE, RESEARCH & EXPERIMENTAL-

CiteScore

17.70

自引率

0.60%

发文量

102

期刊介绍： Med is a flagship medical journal published monthly by Cell Press, the global publisher of trusted and authoritative science journals including Cell, Cancer Cell, and Cell Reports Medicine. Our mission is to advance clinical research and practice by providing a communication forum for the publication of clinical trial results, innovative observations from longitudinal cohorts, and pioneering discoveries about disease mechanisms. The journal also encourages thought-leadership discussions among biomedical researchers, physicians, and other health scientists and stakeholders. Our goal is to improve health worldwide sustainably and ethically. Med publishes rigorously vetted original research and cutting-edge review and perspective articles on critical health issues globally and regionally. Our research section covers clinical case reports, first-in-human studies, large-scale clinical trials, population-based studies, as well as translational research work with the potential to change the course of medical research and improve clinical practice.