人工智能在医疗健康领域的应用

English | 2023 | ISBN: 9781003262152 | 144 pages | True PDF | 6.52 MB

In the era of 'Algorithmic Medicine', the integration of Artificial Intelligence (AI) in healthcare holds immense potential to address critical challenges faced by the industry.

Drawing upon the expertise and experience of the authors in medicine, data science, medical informatics, administration, and entrepreneurship, this textbook goes beyond theoretical discussions to outline practical steps for transitioning AI from the experimental phase to real-time clinical integration. Using the Translational Science methodology, each chapter of the book concisely and clearly addresses the key issues associated with AI implementation in healthcare. Covering technical, clinical, ethical, regulatory, and legal considerations, the authors present evidence-based solutions and frameworks to overcome these challenges.

Engaging case studies and a literature review of peer-reviewed studies and official documents from reputed organizations provide a balanced perspective, bridging the gap between AI research and actual clinical practice.

在“算法医学”时代，人工智能（AI）在医疗健康领域的融合拥有巨大的潜力来解决行业面临的重大挑战。 结合作者们在医学、数据科学、医学信息学、管理和创业方面的专长与经验，这本教科书超越了理论讨论，概述了将AI从实验阶段过渡到临床实际集成的实用步骤。利用转化科学研究方法论，每一章节书中清晰简洁地解决了人工智能在医疗健康领域实施的关键问题。涵盖技术、临床、伦理、监管和法律考量，作者们提出了基于证据的解决方案和框架来克服这些挑战。 富有吸引力的真实案例研究以及来自知名机构的同行评审文章文献综述提供了平衡的观点，弥合了AI研究与实际临床实践之间的差距。

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