3 papers
cs.LG2026
Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data
He Lyu, Huolin Zeng, Junren Wang +7
Real-world clinical data is inherently multimodal, providing complementary evidence that mirrors the practical necessity of jointly assessing multiple related outcomes. Although mu…
eess.AS2025
SpeechCT-CLIP: Distilling Text-Image Knowledge to Speech for Voice-Native Multimodal CT Analysis
Lukas Buess, Jan Geier, David Bani-Harouni +6
Spoken communication plays a central role in clinical workflows. In radiology, for example, most reports are created through dictation. Yet, nearly all medical AI systems rely excl…
cs.AI2025
From large language models to multimodal AI: A scoping review on the potential of generative AI in medicine
Lukas Buess, Matthias Keicher, Nassir Navab +2
Generative artificial intelligence (AI) models, such as diffusion models and OpenAI's ChatGPT, are transforming medicine by enhancing diagnostic accuracy and automating clinical wo…