医学中的人工智能:作,希望和前进的道路
A E Daryanani1, J M Ehrenfeld2
1Advancing a Healthier Wisconsin Endowment, Medical College of Wisconsin, Milwaukee, USA.
South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde
|December 11, 2025
概括
人工智能 (AI) 提供了显著的医疗保健好处,提高了效率和患者的治疗结果. 然而,为了负责任的整合,必须解决诸如偏见,伦理和医生采用等挑战.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健技术 技术 医疗保健 技术
- 临床决策支持 临床决策支持
背景情况:
- 人工智能 (AI) 越来越多地融入医疗保健系统.
- 人工智能应用包括诊断,预测分析和管理任务.
- 人工智能有很大的潜力提高临床效率和患者的治疗结果.
研究的目的:
- 检查AI在医学中的承诺和局限性.
- 解决关于人工智能在医疗保健中的整合的关键问题.
- 探索当前的人工智能应用,障碍和治理需求.
主要方法:
- 审查当前在医疗保健中的AI应用.
- 对人工智能集成的挑战进行分析,包括偏见,责任和监管问题.
- 讨论医生收养和医生与患者的关系.
主要成果:
- 人工智能显示出改善诊断,预测分析和行政效率的潜力.
- 关键的挑战包括数据偏见,道德考虑,监管不确定性和医生犹.
- 医生对人工智能的看法存在分歧,这影响了采用率.
结论:
- 人工智能在医学中的整合既带来了机遇,也带来了重大挑战.
- 解决对偏见,道德,责任和监管的担忧对于负责任的AI部署至关重要.
- 需要有效的治理结构来确保人工智能增强而不是阻碍医疗实践和医生与患者的关系.
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