HealthGPT represents a breakthrough in medical AI as a unified Large Vision-Language Model that both comprehends and generates medical visual content through an autoregressive approach.

• Introduces Heterogeneous Low-Rank Adaptation (H-LoRA) to efficiently adapt pre-trained LLMs to medical domain
• Integrates a hierarchical visual perception module tailored for medical imagery analysis
• Demonstrates superior performance in both medical visual understanding and generation tasks
• Establishes a new paradigm for medical AI that combines analysis and creation capabilities

This advancement matters for healthcare by enabling AI systems that can both interpret medical images and generate visual explanations, potentially improving diagnosis, medical education, and clinical communication workflows.

Original Paper: HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation