诊断成像中的人工智能:合作资产还是迫在眉的替代品?
José Evando da Silva-Filho1,2, André Wescley Oliveira de Aguiar3, Caio Marques Silva4
1Department of Dental Radiology and Imaging, Faculty of Dentistry, University of Fortaleza, 587 Dr. Valmir Pontes Avenue, Edson Queiroz, Fortaleza, Ceará, 60812-020, Brazil. silvafilhoje@gmail.com.
Oral radiology
|October 17, 2025
概括
诊断成像中的人工智能 (AI) 是有前途的,但也面临着挑战. 负责任的实施需要明确的指导方针,以确保人工智能支持,而不是取代放射科医生的专业知识.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 临床诊断 临床诊断 临床诊断
背景情况:
- 人工智能 (AI) 在诊断成像方面正在迅速发展.
- 关于人工智能的作用,出现了关键问题:协作与取代人类专业知识.
- 目前关于人工智能应用的证据,临床,伦理和法律挑战需要审查.
研究的目的:
- 审查目前关于人工智能在诊断成像中的应用的证据.
- 专注于人工智能带来的临床,伦理和法律挑战.
- 倡导在医疗保健中负责任地实施人工智能.
主要方法:
- 审查当前关于AI在诊断成像中的证据.
- 讨论临床,伦理和法律方面的挑战.
- 对人工智能整合的财务和实际影响的分析.
主要成果:
- 人工智能模型在检测异常和优化工作流程方面表现有前途.
- 许多人工智能模型受到狭窄数据集的限制,缺乏外部验证.
- 伦理问题包括算法透明度,偏见,问责制和监管监督需求.
结论:
- 放射科医生对于图像解释和验证AI输出至关重要.
- 过度依赖人工智能可能会侵蚀诊断技能;负责任的实施是关键.
- 人工智能应该支持,而不是取代医疗保健专业人员的专业知识和判断力.
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