Latest AI and machine learning research in patient safety / risk management for healthcare professionals.
Evaluating detailed image captions from Vision-Language Models (VLMs) requires going beyond surface-...
Background. Designing high-quality Objective Structured Clinical Examination (OSCE) stations is a ti...
Captions serve as a primary supervision signal for both multimodal understanding and text-to-image g...
This paper introduces a new benchmark test, Medical-Checklist, for assessing medical multimodal mode...
Medical imaging is a cornerstone of diagnostics, yet automated chest X-ray report generation struggl...
Recent vision-language models (VLMs) for computational pathology report striking zero-shot performan...
Existing evaluations of healthcare AI often treat interoperability as a technical infrastructure iss...
Progress in colonoscopy polyp segmentation is routinely reported through leaderboard comparisons on ...
Objectives: To evaluate the diagnostic accuracy of a publicly available DenseNet-121 convolutional n...
Background: Polypharmacy is common in people living with dementia (PLwD) and associated with adverse...
The growing demand for privacy-preserving data sharing has positioned synthetic data generation as a...
Language models increasingly write probabilistic programs (in NumPyro, Stan, or Pyro), but a program...
While Text-to-Image (T2I) models have shown remarkable success in generating photorealistic visual c...
Graph neural networks have moved from a niche representation-learning technique to the default model...
Background: Guiding risk-appropriate inpatient thromboprophylaxis requires venous thromboembolism (V...
Importance. Large language models (LLMs) increasingly inform mental health decisions by patients and...
Large Vision Language Models (VLMs) excel at visual question answering and semantic grounding, but t...
Scientific machine-learning (SciML) surrogates approximate expensive simulations, but exact expected...
Synthetic and distilled student data are increasingly used to enable privacy-conscious learning anal...
Suicidal risk may be encoded in everyday communication patterns but diluted in routine digital inter...
Artificial intelligence (AI) tools have been rapidly adopted by medical researchers, yet whether ear...