Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Background: Professionalism and effective communication are foundational determinants of patient saf...
Long-horizon clinical simulation -- predicting how a patient's physiology evolves over years under s...
Hand-surface interactions between clinicians, patients, and medical equipment play a central role in...
Cardiac rehabilitation is critical for secondary prevention, yet long-term adherence remains low. We...
Virtual Try-On (VTON) aims to synthesize photorealistic images of garments precisely aligned with a ...
Symbols are shared, but perception is private. We study emergent communication between heterogeneous...
The rapid development of low-altitude economy has driven the proliferation of Unmanned Aerial Vehicl...
Standardized patients (SPs) are central to clinical communication training but are constrained by co...
Federated fine-tuning provides a practical route to adapt large language models (LLMs) on edge devic...
Purpose: Gaze-following, the task of inferring where individuals are looking, has been widely studie...
This paper presents a computational case study that evaluates the capabilities of specialized machin...
Large language models are increasingly deployed as autonomous diagnostic agents, yet they conflate t...
Inadequate discharge communication is a well-documented contributor to medication non-adherence, mis...
The translation of artificial intelligence into clinical practice depends, in large part, on access ...
Reasoning post-training with reinforcement learning from verifiable rewards (RLVR) is typically stud...
Many visual monitoring systems operate under strict communication constraints, where transmitting fu...
Background: The urgent care departments in Europe face a structural paradox: accelerating digitalisa...
Remote sensing archives are inherently distributed: Earth observation missions such as Sentinel-1, S...
Multi-agent coordination under partial observability requires agents to share complementary private ...
Robust 3D environmental perception is critical for applications such as autonomous driving and robot...
Deep learning based semantic communication has achieved significant progress in wireless image trans...