一般实践的生成人工智能;新的潜力在前面,但我们准备好了吗?
Geert-Jan Geersing1, Niek J de Wit1, Matthew Thompson2
1Julius Center for Health Sciences and Primary Care, Department of General Practice & Nursing Science, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
The European journal of general practice
|June 6, 2025
概括
生成性人工智能 (Gen AI) 为初级保健提供了巨大的潜力,增强了实践,教育和临床决策. 由初级保健研究人员进行严格的评估对于确保全科医生和患者有效实施至关重要.
科学领域:
- 医疗保健中的人工智能
- 初级保健创新初级保健的创新
- 数字健康数字健康
背景情况:
- 生成型人工智能 (Gen AI) 为包括初级保健在内的医疗保健挑战提供了解决方案.
- 应用包括任务自动化 (例如,语音对笔记) 和个性化的学习资源.
- 人工智能将通过多式联络患者数据集成,提高诊断和治疗的潜力.
研究的目的:
- 概述在初级保健中实施生成人工智能的优先事项.
- 在Gen AI评估中倡导全科医生 (GPs) 和学术初级保健部门的领导.
- 强调需要对Gen AI工具进行严格的科学评估.
主要方法:
- 在WONCA欧洲2024会议的研讨会上讨论了从研讨会中出现的优先事项.
- 为GP和学术初级保健领导层在评估GenAI的论点.
- 呼吁在Gen AI中优先考虑初级保健研究.
主要成果:
- 在初级保健中确定了Gen AI的三个关键优先事项:实践支持,教育支持和临床决策支持.
- 强调需要严格的科学评估来验证临床实践中的Gen AI工具的必要性.
- 呼吁由初级保健学术界领导的协调努力.
结论:
- 初级保健学术界应该领导Gen AI评估工作.
- 制定研究议程是协调努力的必要第一步.
- 在WONCA欧洲2024研讨会之后,计划进行国际后续行动.
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