人工智能在皮肤病学中的原则,应用和未来
Jesutofunmi A Omiye1, Haiwen Gui1, Roxana Daneshjou1,2
1Department of Dermatology, Stanford University, Stanford, CA, United States.
Frontiers in medicine
|October 30, 2023
概括
这项研究探讨了皮肤病学中的人工智能 (AI),涵盖了皮肤病的方法,应用和挑战. 未来的方向包括负责人工智能开发的大型语言和多模式模型.
科学领域:
- 皮肤病学 皮肤病学
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 越来越多地应用于医学领域,包括皮肤病学.
- 基于图像的AI模型对诊断和管理各种皮肤疾病充满希望.
- 人工智能在皮肤病学中的广泛采用面临着几个挑战.
研究的目的:
- 为皮肤学中人工智能应用提供全面的概述.
- 讨论人工智能在皮肤疾病管理中的方法,当前应用,局限性和未来机会.
- 突出在皮肤病学中负责,公正和公平的人工智能模型开发的重要性.
主要方法:
- 对皮肤病学当前人工智能方法的审查.
- 对基于图像的AI模型在不同皮肤疾病子集中的实施进行分析.
- 探索新兴的人工智能范式,包括大型语言和多模式模型.
主要成果:
- 人工智能正在皮肤病学中实施,特别是针对各种皮肤疾病的基于图像的模型.
- 显著的挑战阻碍了AI工具在临床皮肤病学中的广泛采用.
- 人工智能在皮肤病学中的演变指向复杂的模型,如大型语言和多模式系统.
结论:
- 人工智能具有改变皮肤病学实践的巨大潜力.
- 应对挑战并专注于负责任的发展对于人工智能的成功整合至关重要.
- 未来皮肤病学人工智能可能涉及先进的多模式方法,强调公平和公平.
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