医疗保健中的生成人工智能使用:临床卓越和行政效率的机会
Soumitra S Bhuyan1, Vidyoth Sateesh2, Naya Mukul3
1Edward J. Bloustein School of Planning and Public Policy, Rutgers, The State University of New Jersey, 255, Civic Square Building 33 Livingston Ave #400, New Brunswick, NJ, 08901, USA. Soumitra.bhuyan@rutgers.edu.
Journal of medical systems
|January 17, 2025
概括
生成型人工智能 (Gen AI) 提供了重要的医疗保健进步,从个性化的患者护理和医学研究到提高运营效率. 这项技术有望使医疗保健更积极主动,更具预测性和更精确.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 人工智能在医学中的应用
- 数字健康数字健康
背景情况:
- 生成型人工智能 (Gen AI) 呈现了医疗保健中的范式转变.
- 它的应用涵盖临床和非临床领域,有望提高患者护理和运营效率.
研究的目的:
- 检查一代AI在医疗保健中的各种临床和非临床应用.
- 突出一代人工智能的潜力,彻底改变医学研究,教育和患者治疗.
主要方法:
- 在医疗保健环境中审查当前和新兴的Gen AI应用程序.
- 对Gen AI对临床工作流程,管理任务和医学研究的影响的分析.
主要成果:
- 人工智能将促进定制治疗计划,合成数据生成,医学图像分析和风险预测.
- 文档的自动化减少了临床医生的倦怠,提高了直接的病人护理.
- 应用范围扩展到手术辅助,医学教育和收入循环管理.
结论:
- 人工智能将有望显著提高医疗保健的临床和运营效率.
- 它的持续学习能力推动了主动,预测和精确的医疗保健服务.
- 人工智能通过合成数据增强医学研究,改善整体医疗保健结果.
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