AI医疗系统可能破坏医患信任与共情，而非提升医疗人文关怀。
Data over dialogue: Why artificial intelligence is unlikely to humanise medicine
- 批判性分析医疗机器学习对医患关系的负面影响
- 指出AI削弱医患间信任、共情与沟通质量
- 适合关注AI伦理与医疗人文的从业者阅读
近年来，越来越多的人工智能与医学领域的专家认为，使用人工智能系统（尤其是机器学习系统）有望通过显著提升医患关系质量，实现医疗实践的人文化。然而本文主张，医疗机器学习系统更可能对医患关系产生负面影响，而非改善。具体而言，文章认为医疗机器学习系统的应用很可能损害临床医生与患者之间信任、关怀、共情、理解与沟通的质量。
原文摘要 · Abstract (English)
Recently, a growing number of experts in artificial intelligence (AI) and medicine have be-gun to suggest that the use of AI systems, particularly machine learning (ML) systems, is likely to humanise the practice of medicine by substantially improving the quality of clinician-patient relationships. In this thesis, however, I argue that medical ML systems are more likely to negatively impact these relationships than to improve them. In particular, I argue that the use of medical ML systems is likely to comprise the quality of trust, care, empathy, understanding, and communication between clinicians and patients.
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