重新定义医疗保健 - - 产生性AI在现代医学中的变革力量
Julio Mayol1, Marcos Gámez Alastuey1, Rocío Anula Fernández1
1General and Digestive Surgery, Hospital Clinico San Carlos. Universidad Complutense de Madrid, España.
Revista espanola de enfermedades digestivas
|February 3, 2025
概括
生成型人工智能 (AI) 使用深度学习来模仿人类认知并创建内容. 医疗保健专业人员必须为其破坏性影响做好准备,并应对相关的伦理和法律挑战.
科学领域:
- 人工智能的人工智能
- 深度学习 (Deep Learning) 是一种深度学习.
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 深度学习,大数据和计算能力的技术进步使复杂的人工智能成为可能.
- 数字解决方案现在可以模仿人类的认知功能,如语言,视觉和听觉.
- 这些功能使人工智能系统能够根据提示生成新的内容.
研究的目的:
- 突出在医疗保健领域产生性人工智能的变革潜力.
- 强调医疗保健专业人员需要为人工智能集成做好准备.
- 识别和解决医疗保健中生成人工智能所带来的伦理和法律挑战.
主要方法:
- 审查人工智能领域最近的技术进步.
- 对仿真人类认知过程的生成AI能力的分析.
- 讨论生成性AI对医疗保健行业的影响.
主要成果:
- 生成性AI证明了模仿人类认知功能的能力.
- 当提供特定提示时,AI系统可以产生新内容.
- 医疗保健行业正面临着由生成人工智能带来的重大颠覆.
结论:
- 生成性人工智能代表了一个范式转变,有可能彻底改变医疗保健.
- 医疗保健专业人员的积极准备对于导航人工智能集成至关重要.
- 解决伦理和法律方面的考虑对于在医疗保健中负责任地实施AI至关重要.
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