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在医疗保健中查的人工智能:承诺和挑战
Kenichi Saito1,2, Shannon L Walston1, Hirotaka Takita3
1Department of Artificial Intelligence, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
Abdominal radiology (New York)
|January 12, 2026
概括
人工智能 (AI) 提高了乳房镜检查,糖尿病视网膜病变和结肠镜检查中的癌症查准确度和效率. 实现广泛的公共卫生效益需要解决人工智能偏见,概括性和工作流集成挑战.
科学领域:
- 医疗信息学 医疗信息学
- 公共卫生 公共卫生
- 计算机科学 计算机科学
背景情况:
- 人工智能 (AI) 在彻底改变人口查方面表现有前途.
- 将人工智能的实验室性能转化为有形的人口利益是一个持续的挑战.
研究的目的:
- 审查AI在主要癌症查途径中的当前应用.
- 确定人工智能在人口查中的局限性和未来机会.
主要方法:
- 对前性试验和人工智能在乳房镜,糖尿病视网膜病变和结肠镜中的应用进行叙述性审查.
- 讨论用于早期癌症检测的新兴多式人工智能方法.
主要成果:
- 乳房镜中的AI保持了癌症检测率,同时减少了放射科医生的工作量.
- 人工智能系统正在扩大糖尿病视网膜病变查的访问和改善吸收.
- 在结肠镜检查期间的计算机视觉可以提高腺瘤的检测,而不会增加非新发性组织的去除.
结论:
- 人工智能显示出增强医生的潜力,改善医疗准入,提高查效率.
- 克服基本利率问题,概括性,偏见和工作流集成等挑战至关重要.
- 未来的人工智能开发应该侧重于公平,严格的评估和人类监督,以实现可持续的公共卫生影响.
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