[在人工智能时代对临床病理学实习生培训的新范式的思考]
1Department of Pathology, West China Hospital, Sichuan University;Institute of Clinical Pathology, West China Hospital, Sichuan University, Chengdu 610041, China.
概括
人工智能 (AI) 正在改变临床病理学诊断和工作流程. 这包括对病理学住院医生适应人工智能驱动的变化的新培训要求.
科学领域:
- 医学诊断 医学诊断 医学诊断
- 计算病理学计算病理学
- 医学教育 医学教育
背景情况:
- 临床病理学面临着重大的挑战和变化.
- 人工智能 (AI) 越来越多地被医学界接受.
- 基础模型代表了用于病理学的AI的新前沿.
研究的目的:
- 讨论人工智能在临床病理学的当前应用.
- 分析人工智能对病理学实习生培训的影响.
- 探索该领域的未来发展和新范式.
主要方法:
- 在临床病理学中对AI的文献综述.
- 分析AI对病理学工作流程和诊断的影响.
- 讨论AI在病理学居民教育中的作用.
主要成果:
- 人工智能,特别是基础模型,即将彻底改变病理学.
- 预计病理学家的工作流程和诊断方法将发生重大变化.
- 对于病理学住院医生,需要新的教育策略.
结论:
- 人工智能集成需要对病理学实践和培训进行重新评估.
- 适应人工智能将重新定义临床病理学的未来.
- 积极开发新的培训模式至关重要.
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