推进医疗保健的基础模型:挑战,机遇和未来方向
IEEE reviews in biomedical engineering
|November 12, 2024
概括
医疗基础模型 (HFMs) 正在推动AI在医学领域的发展. 本调查考察了HFM的方法,应用,挑战和未来的方向,以指导开发和理解.
科学领域:
- 人工智能的人工智能
- 医疗信息学 医疗信息学
- 计算机科学 计算机科学
背景情况:
- 基金会模型正在在各种任务中推进人工智能能力.
- 医疗基础模型 (HFMs) 为医学中量身定制的人工智能提供了潜力.
- 了解HFM操作,挑战和未来对于部署至关重要.
研究的目的:
- 为医疗基础模型 (HFMs) 提供全面的检查.
- 探索HFMs当前的进展,挑战和未来的方向.
- 为了增强社区的理解,并指导医疗AI的未来进展.
主要方法:
- 对HFM方法,数据和应用进行全面的审查.
- 深入探索数据,算法和基础设施方面的挑战.
- 确定对HFMs有前途的未来发展方向.
主要成果:
- 目前HFM环境的概述,包括方法,数据和应用.
- 详细分析HFM开发和部署中的挑战.
- 确定未来研究和创新的关键领域.
结论:
- 在智能医疗保健服务方面,HFM具有显著的潜力.
- 解决数据,算法和基础设施方面的挑战是HFM成功的关键.
- 这项调查为医疗保健中HFM的未来提供了有价值的指导.
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