在医疗保健中利用人工智能:推进诊断,治疗和以患者为中心的护理
Amiya Das1, Deepshi Arora2, Geeta Deswal2
1Department of Chemistry, Faculty of Engineering and Technology, SRM Institute of Science and Technology, NCR Campus, Delhi-NCR Campus, Delhi-Meerut Road, Modinagar, 201204 Ghaziabad, Uttar Pradesh, India.
Journal of the National Medical Association
|March 15, 2026
概括
人工智能 (AI) 提高了医疗保健诊断和效率,但面临着整合,数据和道德挑战. 未来的成功需要可解释的,公平的AI系统,以实现无的临床实践.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
背景情况:
- 人工智能 (AI) 正通过创新的诊断,治疗和管理解决方案改变医疗保健服务.
- 人工智能整合旨在改善各种医疗领域的健康结果,可访问性和质量.
研究的目的:
- 审查AI在临床实践中的整合,并评估其对医疗保健结果,可访问性和质量的影响.
- 确定医疗保健领域的关键人工智能应用,好处,挑战和未来方向.
主要方法:
- 深入分析同行评审的文献,行业报告和关于医疗保健中的AI的案例研究.
- 检查人工智能驱动的诊断工具,药物发现,管理系统和远程医疗.
主要成果:
- 人工智能,特别是深度学习,提高了诊断准确度和临床决策.
- 预测算法有助于早期发现疾病和分配资源;虚拟助理提高了患者的参与度.
- 像NVIDIA Clara这样的创新显示出更好的成像效率和诊断精度.
结论:
- 人工智能为降低成本,提高效率和个性化患者护理提供了巨大的潜力.
- 挑战包括系统集成,数据依赖,道德问题 (隐私,偏见) 和缺乏透明度.
- 未来的成功取决于可解释的人工智能,互操作性,临床医师培训和保护隐私的方法,以实现公平的医疗保健.
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