2 papers
cs.CL2025
A novel language model for predicting serious adverse event results in clinical trials from their prospective registrations
Qixuan Hu, Xumou Zhang, Jinman Kim +2
Objectives: With accurate estimates of expected safety results, clinical trials could be better designed and monitored. We evaluated methods for predicting serious adverse event (S…
cs.CV2025
Bridging the Semantic Gaps: Improving Medical VQA Consistency with LLM-Augmented Question Sets
Yongpei Ma, Pengyu Wang, Adam Dunn +2
Medical Visual Question Answering (MVQA) systems can interpret medical images in response to natural language queries. However, linguistic variability in question phrasing often un…