皮肤病学的基础模型:人工智能的进步. 一个叙事审查
D Emilio Pimienta-Rosero1, E Yesid Benavides-Tulcán1, D C Fajardo-Murcia2
1Facultad de Salud. Departamento de medicina interna. Sección de dermatología. Universidad del Valle, Cali, Colombia; Sección de dermatología. Hospital Universitario del Valle "Evaristo García", Cali, Colombia.
Actas dermo-sifiliograficas
|December 19, 2025
概括
基础模型 (FMs) 是先进的AI工具,通过改进诊断和治疗计划来改变皮肤病学. 这篇评论探讨了它们的演变,当前的应用以及医疗AI的未来潜力.
科学领域:
- 人工智能在医学中的应用
- 皮肤病学 皮肤病学
- 生成性AI是一种人工智能.
背景情况:
- 基础模型 (FMs) 是深度学习模型,在医疗保健中具有广泛的应用.
- 它们包括大型语言模型 (LLM),视觉中心的FM,视觉语言模型 (VLM) 和大型多式模式模型 (LMM).
- 在皮肤病学中,FMS具有标准化诊断,量化疾病严重程度和个性化治疗的潜力.
研究的目的:
- 审查生成AI在皮肤病学专注的FMs中的演变.
- 总结一下医疗FM的当前形势,用于基于图像的专业.
- 分析潜在的风险和皮肤病中FMS的未来方向.
主要方法:
- 对推动FM演变的生成AI里程碑的叙述性回顾.
- 基于图像的专业当前医疗FM的总结.
- 对风险和未来方向的临床和技术观点的分析.
主要成果:
- 生成型人工智能显著推进了专注于皮肤病的FMs的发展.
- 各种FM正在出现,用于医学图像分析和临床支持.
- 该领域正在迅速发展,正在进行研究和开发.
结论:
- 基础模型对改善皮肤病学实践具有显著的前景.
- 需要进一步的研究来解决潜在的风险,并优化临床整合.
- 皮肤病学的未来很可能是由AI和FM的进步所塑造的.
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