通过应用机器学习技术和人工智能来推进护理点测试
Craig M Lilly1, Apurv V Soni2, Denise Dunlap3
1Department of Medicine, UMass Chan Medical School, Worcester, MA; Department of Anesthesiology and Department of Surgery, UMass Chan Medical School, Worcester, MA; Graduate School of Biomedical Sciences, UMass Chan Medical School, Worcester, MA; UMass Memorial Health, Worcester, MA.
Chest
|August 25, 2024
概括
人工智能 (AI) 为医疗保健提供了潜力,特别是在诊断和管理方面. 有效的协作和清晰的术语对于在临床环境中开发AI解决方案至关重要.
科学领域:
- 医疗保健技术 医疗保健技术 医疗保健技术
- 医学中的人工智能
背景情况:
- 人工智能 (AI) 显示出改善各种健康状况的诊断和管理的前景.
- 护理点检测扩大了医疗保健的接入范围,超出了传统环境.
- 有效的合作是应对临床挑战的关键.
研究的目的:
- 突出人工智能在医疗保健中的潜力.
- 强调在开发人工智能解决方案方面合作的重要性.
- 在研究中倡导清晰的术语,以促进更好的协作.
主要方法:
- 关于人工智能在医疗保健和医疗点测试方面的文献综述.
- 分析开发人员,临床医生和最终用户之间的协作模式.
- 讨论标准化术语在研究中的作用.
主要成果:
- 人工智能被认为具有提高疾病诊断和管理的潜力.
- 临床检测改善了医疗保健的可访问性.
- 合作和清晰的沟通对于使用人工智能成功解决临床问题至关重要.
结论:
- 人工智能对改变医疗保健提供具有重大前景.
- 跨学科合作和标准化术语对于实现AI在临床实践中的全部潜力至关重要.
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