Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
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 ...
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...
Inferring cell-cell communication (CCC) from single-cell transcriptomics remains fundamentally limit...
In recent years, progress in medical informatics and machine learning has been accelerated by the av...
Recent advances in spatial transcriptomics and computational modeling enable the study of cellular i...
Artificial intelligence (AI)-enabled digital interventions, including Generative AI (GenAI) and Huma...
Self-supervised learning (SSL) has revolutionized representation learning, with Joint-Embedding Arch...
Federated learning (FL) offers a privacy-preserving paradigm for collaborative medical image analysi...
Unmanned aerial vehicles (UAVs) are increasingly used to support time-critical medical supply delive...
Foundation models (FMs) show great promise for robust downstream performance across medical imaging ...