We are pleased to present a curated selection of our recent publications in the field of AI in medicine, highlighting our latest research, innovations, and contributions to advancing healthcare through intelligent technologies.

Towards Interpretable Radiology Report Generation via Concept Bottlenecks Using a Multi-agentic RAG

CBM-RAG: Demonstrating Enhanced Interpretability in Radiology Report Generation with Multi-Agent RAG and Concept Bottleneck Models

Explainable Biomedical Claim Verification with Large Language Models

FunduScope: A Human-centered Tool for ML-assisted e-Learning in Ophthalmology

An AI-driven Clinical Decision Support System for the Treatment of Diabetic Retinopathy and Age-related Macular Degeneration

Towards Trustable Clinical Decision Support Systems: A User Study with Ophthalmologists

Deep Learning for Ophthalmology – The State-of-the-Art and Future Trends

MGPATH: Vision-Language Model with Multi-Granular Prompt Learning for Few-Shot WSI Classification