A new study from researchers evaluating large language models as unified multimodal learners for clinical prediction finds that converting all patient data into a single natural language sequence and …
Researchers used frozen medical large language model (LLM) representations to predict primary ICD categories from both clinical narratives and structured EHR data, achieving 87.69% strict accuracy on …
Researchers developed a diffusion-based model that generates irregular clinical time series by jointly modeling laboratory values and their observation patterns, using the MIMIC-III-derived DACMI benc…
A study published in JMIR Medical Informatics found that a three-pass large language model framework improved precision for radiology-report error detection, with positive predictive value rising from…