人工智能时代的病理学:指导创新和实施,以保护人类洞察力
Harry Gaffney1, Kamran M Mirza2
1Concord Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
Academic pathology
|March 19, 2025
概括
病理学中的人工智能 (AI) 提高了诊断的准确性和效率,增强而不是取代人类的专业知识. 未来的整合需要强有力的治理和教育,以促进诊断医学的协作进步.
科学领域:
- 病理学 病理学 病理学
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 融入病理诊断引发了关于技术作用的辩论:增强与取代人类专业知识.
- 历史上的技术转变,比如放射学中的模拟到数字,证明了进步可以扩大专业能力,而不会减少人类因素.
研究的目的:
- 探索AI在病理学中的不断变化的贡献.
- 要强调AI的潜力,增强而不是掩盖病理学家的作用.
- 倡导一种平衡的方法,将人工智能和人类专业知识整合到诊断医学中.
主要方法:
- 文献审查和分析当前在病理学中的AI应用.
- 历史比较与其他医学领域 (如放射学) 的技术转型.
- 讨论人工智能整合的挑战和建议.
主要成果:
- 人工智能应用显示出诊断标准化和工作流效率的潜力.
- 人工智能可以提高诊断准确度,加快流程,提高机构间的一致性.
- 算法偏见,监管监督和技能维护被确定为挑战.
结论:
- 在病理学中,人工智能应该被视为一种协作工具,赋予专业人员权力并提高患者的治疗结果.
- 全面的治理,不断发展的教育和公众参与对于成功的AI整合至关重要.
- 为了推进诊断医学,建议采取平衡的方法,即人工智能和人类专业知识协同工作.
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