Latest AI and machine learning research in intensivists for healthcare professionals.
Photographs taken in adverse weather conditions often suffer from blurriness, occlusion, and low bri...
Conventional multi-image super-resolution (MISR) methods, such as burst and video SR, rely on sequen...
RL training of multi-turn LLM agents is inherently unstable, and reasoning quality directly determin...
We propose FusionBERT, a novel multi-view visual fusion framework for image-3D multimodal retrieval....
Sepsis can lead to acute respiratory distress syndrome (ARDS) and is associated with a high mortalit...
Cardiac surgery patients experience rapidly evolving hemodynamics in early post-operative period req...
Large Language Models achieve impressive accuracy on medical benchmarks that present clinical inform...
Confidence calibration assumes a unique ground-truth label per input, yet this assumption fails wher...
Recent works have shown that Multimodal Large Language Models (MLLMs) are highly vulnerable to hidde...
Subject-driven image generation is increasingly expected to support fine-grained control over multip...
Systems powered by large language models are widely used for health information and advice, yet robu...
Background: Pediatric dilated cardiomyopathy (DCM) is a rare, progressive heart disease with variabl...
Motivation: Encoding antibodies (Abs) and nanobodies (Nbs) as mRNA enables in vivo production of the...
Objective: To evaluate a ranking approach for emergency department (ED) waiting room prioritization ...
Background: This study aims to develop and validate federated learning models for predicting major p...
As multi-agent AI systems are increasingly deployed in real-world settings - from automated customer...
Early identification of patients at risk for clinical deterioration in the intensive care unit (ICU)...
With the rapid advancement of artificial intelligence, intelligent dentistry for clinical diagnosis ...
Abstract Background: Echocardiography (echo) notes contain valuable prognostic information for patie...
Thyroid ultrasound (US) automation couples two competing requirements: global, geometry-driven reaso...
Objective To develop and evaluate a scalable and reproducible natural language processing (NLP) appr...