Med-VLMs: The Future of Medical AI
Integrating Vision and Language for Enhanced Healthcare
This survey explores how Vision-Language Models are revolutionizing medical AI by combining visual and textual data processing capabilities.
- Adapts general-purpose VLMs for specialized medical applications and clinical tasks
- Examines the technical foundations behind medical VLMs and their implementation
- Addresses ethical considerations including privacy concerns and fairness in healthcare AI
- Highlights potential for improving clinical outcomes through multimodal understanding
This research matters because it bridges the gap between advanced AI capabilities and practical healthcare applications, potentially transforming diagnostics, treatment planning, and patient care through more intuitive and comprehensive AI systems.