Scholarlink

<p>This comprehensive review explores the transformative potential of visual-language foundation models (VL-FMs) in medical and clinical applications. By integrating deep visual perception with natural language understanding, these models enable context-aware interpretation of radiological, pathological, and ophthalmic images alongside clinical text. Technical advancements are analyzed, including transformer architectures, multi-modal fusion strategies, and knowledge integration frameworks. Case studies illustrate applications in disease diagnosis (e.g., diabetic retinopathy, lung cancer), image segmentation (e.g., brain tumors, vascular structures), and clinical decision support. Existing challenges such as data privacy, interpretability, and computational efficiency are discussed, alongside future directions for developing explainable and generalizable AI systems in precision medicine.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Z Visual-language foundation models for medical and clinical diagnosis and treatments

  • 期刊论文

  • 发表日期：

    2025年10月20日

查看全文
  • Haoran Guan,
  • Xiang Chen,
  • Chengxing Shen,
  • Xiaoyue Zhu,
  • Huajun Xu,
  • Chenyang Li

摘要

This comprehensive review explores the transformative potential of visual-language foundation models (VL-FMs) in medical and clinical applications. By integrating deep visual perception with natural language understanding, these models enable context-aware interpretation of radiological, pathological, and ophthalmic images alongside clinical text. Technical advancements are analyzed, including transformer architectures, multi-modal fusion strategies, and knowledge integration frameworks. Case studies illustrate applications in disease diagnosis (e.g., diabetic retinopathy, lung cancer), image segmentation (e.g., brain tumors, vascular structures), and clinical decision support. Existing challenges such as data privacy, interpretability, and computational efficiency are discussed, alongside future directions for developing explainable and generalizable AI systems in precision medicine.