Latest AI and machine learning research in product alert for healthcare professionals.
Patients diagnosed with type 2 diabetes (T2D) are at increased risk of developing cardiovascular dis...
There is interest in the use of recent single-cell spatial transcriptomic technologies to gain biolo...
Semantic region editing for large images must satisfy two requirements at the same time: high genera...
Post-traumatic stress disorder (PTSD) in veterans is characterized by persistent hyperarousal and co...
Objective. To introduce PsiBench, a clinically validated medication-safety benchmark for evaluating ...
Post-surgical adverse outcomes, including mortality, intensive care readmission, and complications, ...
Decision-relevant building damage assessment is critical for prioritizing resources and recovery aft...
Background: This study aimed to evaluate real-world adverse event (AE) signals of EV to provide evid...
As one of the most destructive natural disasters, earthquakes have struck many countries around the ...
External memory has become a core component of modern web agents, enabling long-horizon reasoning th...
Latent world models are increasingly used for control and goal-conditioned planning, yet assessing w...
Clinical early warning systems built on electronic health records, in which clinical observations ar...
Veterinary pharmacovigilance systems are essential for monitoring adverse drug events (ADEs), yet ex...
Background Coeliac disease affects approximately 1% of the global population and remains substantial...
Circulating tumor DNA (ctDNA) is a promising biomarker for cancer detection, but low tumor burden ma...
A closed-loop quality system deployed across thirteen US hospital sites resolved physician complaint...
We introduce JetViT, a novel family of hybrid-architecture Vision Transformer (ViT) models that matc...
Background: Stroke is a time-sensitive neurological emergency in which early EMS activation and pres...
GraphRAG conditions language models on subgraphs retrieved from knowledge graphs, encoded via messag...
Capsule endoscopy event detection is challenging because clinically relevant findings are sparse, vi...
While large language models provide strong compositional reasoning, existing reasoning segmentation ...