通过简单的成功:医学中的其他人工智能应用应该从历史和聊天中学习什么GPT
1Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany. samsedaghat1@gmail.com.
Annals of biomedical engineering
|June 18, 2023
概括
医学中的人工智能 (AI) 面临着采用挑战. 简化用户界面对于基于AI的医疗应用程序的临床成功至关重要,正如ChatGPT等流行的工具所证明的那样.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能的人工智能
- 临床技术的采用 临床技术的采用
背景情况:
- 许多人工智能 (AI) 算法存在于医学应用中.
- 尽管有发展努力,人工智能工具的临床整合仍然有限.
研究的目的:
- 确定影响AI在临床实践中的采用关键因素.
- 突出人工智能医疗工具用户友好的界面的重要性.
主要方法:
- 分析当前在医疗保健中的AI应用.
- 对人工智能工具受欢迎程度和界面设计的比较评估.
主要成果:
- 很少有人工智能算法转化为广泛使用的临床产品.
- 像ChatGPT这样的工具的普及凸显了简单,用户友好的界面的重要性.
- 大多数当前的AI医疗应用缺乏直观的用户界面.
结论:
- 简化操作和提高用户友好性对于在临床环境中成功实施AI至关重要.
- 解决可用性差距对于实现AI在医疗保健中的潜力至关重要.
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