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.<\/p>\n\n\n\n
Towards Interpretable Radiology Report Generation via Concept Bottlenecks Using a Multi-agentic RAG<\/a><\/p>\n\n\n\n CBM-RAG: Demonstrating Enhanced Interpretability in Radiology Report Generation with Multi-Agent RAG and Concept Bottleneck Models<\/a><\/p>\n\n\n\n Explainable Biomedical Claim Verification with Large Language Models<\/a><\/p>\n\n\n\n FunduScope: A Human-centered Tool for ML-assisted e-Learning in Ophthalmology<\/a><\/p>\n\n\n\n An AI-driven Clinical Decision Support System for the Treatment of Diabetic Retinopathy and Age-related Macular Degeneration<\/a><\/p>\n\n\n\n Towards Trustable Clinical Decision Support Systems: A User Study with Ophthalmologists<\/a><\/p>\n\n\n\n Deep Learning for Ophthalmology – The State-of-the-Art and Future Trends<\/a><\/p>\n\n\n\n MGPATH: Vision-Language Model with Multi-Granular Prompt Learning for Few-Shot WSI Classification<\/a><\/p>\n\n\n\n <\/p>\n\n\n\n <\/p>\n\n\n\n <\/p>\n","protected":false},"excerpt":{"rendered":" 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 … Continue reading