Latest AI and machine learning research in intensivists for healthcare professionals.
Multimodal clinical records contain structured measurements and clinical notes recorded over time, o...
Timely and interpretable early warning of sepsis remains a major clinical challenge due to the compl...
Wastewater treatment plants (WWTPs) need digital-twin-style decision support tools that can simulate...
Human-object interaction (HOI) detection aims to detect interactions between humans and objects in i...
Semiconductor failure analysis (FA) requires engineers to examine inspection images, correlate equip...
Although recent advances have improved the quality of 3D texture generation, existing methods still ...
Recent progress in AI-enabled constitutive modeling has concentrated on moving from a purely data-dr...
Background: The Therapeutic Distance framework (Paper 1) achieved AUC 0.61 for orbit-based mortality...
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...
Existing multi-view crowd counting and localization methods are evaluated under relatively small sce...
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...