会议介绍:临床医学中的AI和机器学习:人机界面上的生成和交互式系统
Fateme Nateghi Haredasht1, Dokyoon Kim2, Joseph D Romano3
1Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA, fnateghi@stanford.edu.
人工智能 (AI) 正在通过分析复杂的数据来进行更好的临床决策和患者监测来彻底改变医疗保健. 进一步的研究对于了解人工智能在医学上的全部影响至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 计算机科学 计算机科学
- 数据科学数据科学数据科学
背景情况:
- 人工智能 (AI) 的进步,特别是生成性AI和深度学习,使复杂数据集的复杂分析成为可能.
- 人工智能擅长从各种数据类型中提取见解,包括非结构化文本,图像和结构化信息.
研究的目的:
- 探索AI在医学中的日益增长的应用.
- 突出AI在提高医疗保健工具和系统中的作用.
主要方法:
- 审查当前人工智能在数据处理方面的进展.
- 对AI在医疗应用中的整合进行分析.
主要成果:
- 人工智能工具正在出现,用于临床决策,患者监测和图像分析.
- 人工智能在改善应急响应系统方面显示出潜力.
结论:
- 人工智能为彻底改变医疗保健提供了巨大的潜力.
- 需要进行全面的研究来解决人工智能在医疗领域的影响.
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