导航人工智能浪潮:挑战,机遇和未来的方向为职业生涯早期的皮肤科医生
Meng Zhang1, Ruiqi Chu1, Chunmei Liu1
1Department of Dermatology, Affiliated Hospital of Hebei University, Baoding, Hebei, China.
Frontiers in medicine
|October 17, 2025
概括
人工智能 (AI) 显示了与皮肤科医生竞争的诊断准确性,并超过了早期职业生涯的医生. 本次审查提出了一个人工智能增强的皮肤病学框架,用于培训和实践集成.
科学领域:
- 皮肤病学 皮肤病学
- 医疗人工智能 医疗人工智能
- 医学教育 医学教育
背景情况:
- 人工智能 (AI) 在皮肤病学中表现出诊断能力,相当于专家皮肤科医生,优于早期职业生涯的医生.
- 人工智能融入皮肤病学实践和培训需要对当前证据和未来策略进行审查.
- 现有的道德框架和实施策略需要对皮肤病学中人工智能采用进行批判性评估.
研究的目的:
- 综合有关AI对皮肤病学培训和实践的影响的证据.
- 解决皮肤病学AI在伦理框架和实施策略中的关键缺口.
- 为人工智能增强皮肤学提出一个基于能力的框架.
主要方法:
- 对皮肤学AI现有文献的系统审查.
- 对AI的诊断准确性数据的分析与皮肤科医生和医生对比.
- 在皮肤学教育和临床工作流程中整合人工智能的拟议框架的开发.
主要成果:
- 人工智能在特定的皮肤病学任务中实现了高诊断准确度,超过了职业生涯早期医生的表现.
- 证据综合强调了人工智能在皮肤病学中的变革潜力.
- 发现了皮肤病学AI的伦理准则和实施策略中的差距.
结论:
- 为"人工智能增强皮肤病学"提出了一个基于能力的框架,强调人工智能素养和标准化工作流程.
- 职业生涯早期的皮肤科医生应该利用人工智能作为支持工具,同时磨练必要的临床和沟通技能.
- 积极参与监管流程和课程开发对于成功地将人工智能整合到皮肤病学的未来至关重要.
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