Researchers have created the largest dermatology vision-language dataset to date, aligning medical images with clinical ontology knowledge to advance AI diagnostic capabilities.

• Million-scale resource with rich textual descriptions beyond simple labels
• Clinical context integration including patient history and symptoms
• Standardized knowledge structure aligned with medical ontologies
• Cross-domain applications for medical education and clinical decision support

This breakthrough addresses a critical gap in dermatological AI research, enabling more accurate diagnostic tools, improved medical education resources, and potentially earlier detection of skin conditions for millions of patients worldwide.

Derm1M: A Million-scale Vision-Language Dataset Aligned with Clinical Ontology Knowledge for Dermatology