用户和开发人员对使用人工智能技术促进初级保健机构早期发现皮肤癌的看法:质量半结构面试研究
Owain Tudor Jones1, Natalia Calanzani2, Suzanne E Scott3
1Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.
JMIR cancer
|January 28, 2025
概括
利益相关者希望人工智能 (AI) 用于早期皮肤癌检测,但对其放置,数据质量和监管存在担忧. 仔细的开发和实施对人工智能至关重要.
科学领域:
- 皮肤病学和医疗信息学
- 医疗保健服务研究 医疗服务研究
- 医疗保健中的人工智能
背景情况:
- 全球皮肤癌发病率不断上升,需要改进诊断工具.
- 人工智能 (AI) 在皮肤癌诊断方面表现有前途,但往往缺乏临床验证和监管批准.
- 有限的定性研究存在于有关AI在皮肤癌诊断途径的利益相关者的观点.
研究的目的:
- 探索有关使用人工智能用于早期皮肤癌检测的各种利益相关者的观点.
- 了解对AI在诊断途径中的作用,好处和挑战的看法.
主要方法:
- 使用半结构面试对29个不同的利益相关者进行定性研究.
- 有目的的抽样确保了跨年龄,性别和地理位置的代表性.
- 使用主题框架分析,以非采用,放弃和扩大规模的挑战框架为指导.
主要成果:
- 关于AI在诊断途径中的最佳位置没有达成共识;患者或初级保健从业者使用更受青.
- 关键问题包括数据质量,人口统计数据的AI准确性,以及错过诊断的可能性.
- 可用性,融入紧张的医疗保健系统以及强大的评估/监管方法至关重要.
结论:
- 这项研究为利益相关者对人工智能用于皮肤癌诊断的观点提供了新的见解.
- 人工智能技术的最佳整合和定位需要进一步的决心.
- 周到的AI开发,强调数据质量和代表性,对于实现其潜力至关重要.
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