AIBullisharXiv – CS AI · 8h ago6/10
🧠
Efficient Multimodal Clinical Question Answering for Pulmonary Embolism Risk Assessment
Researchers have developed a benchmark for evaluating efficient multimodal language models on pulmonary embolism diagnosis and risk assessment using a dataset of 23,248 CTPA studies. The study demonstrates that compact models like Gemma4 perform significantly better when combining imaging and electronic health record data, with diagnostic tasks outperforming prognostic predictions.