人工智能能否实现其在医疗保健方面的承诺?
Robert M Wachter1, Erik Brynjolfsson2
1Department of Medicine, University of California, San Francisco.
JAMA
|November 30, 2023
概括
生成型人工智能 (genAI) 具有独特的特性,可以加速其在医疗保健中的采用和影响,并有可能克服历史技术实施挑战. 医疗机构越来越准备好迎接基因人工智能所需的补充创新,
科学领域:
- 医疗信息学
- 人工智能
- 技术采用
背景情况:
- 自2022年底以来,生成人工智能 (genAI) 引发了大量兴趣和关注.
- 在历史上,通用技术面临着"生产力悖论",
- 医疗保健的独特特性以前阻碍了人工智能和电子健康记录的实施.
研究的目的:
- 探索基因AI在医疗保健中的潜力.
- 解决在医疗保健领域部署基因人工智能的挑战和机遇.
- 评估可能影响其采用曲线的genAI的独特特性.
主要方法:
- 对技术采用历史趋势的分析.
- 评估影响技术实施的医疗保健行业特征.
- 评估genAI的独特特性和医疗生态系统的准备.
主要成果:
- genAI具有独特的特点,可以缩短医疗保健中的实施和生产力增长之间的典型滞后.
- 医疗生态系统正在发展,
- 医疗机构更好地实施数字工具所需的补充创新.
结论:
- 基因人工智能有可能比以前的技术更快地为医疗保健提供有意义的改善.
- 基因人工智能的先进能力和组织准备表明实现效益的更快途径.
- 由于其独特的特性和不断发展的生态系统, 医疗保健正准备从genAI中受益.
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