Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
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 ...
Medical image segmentation is fundamental to clinical workflows, yet models trained on a single data...
Background Generative artificial intelligence (GenAI) in healthcare may reduce administrative burden...
Large language models (LLMs) are increasingly used by the public to seek health information, yet the...
Internet of Things (IoT) networks face significant challenges such as limited communication bandwidt...
Background: Objective Structured Clinical Examination (OSCE; Clinical Performance Examination [CPX] ...
Purpose: To evaluate whether large language models (LLMs) can enhance clinician-patient communicatio...
Federated learning (FL) facilitates the secure utilization of decentralized images, advancing applic...
Discrete image tokenizers have emerged as a key component of modern vision and multimodal systems, p...
Background and Aims: Alcohol use disorder (AUD) remains a major public health concern, with persiste...
Semantic communication is a novel communication paradigm that focuses on conveying the user's intend...
INTRODUCTION: Cognitively unimpaired (CU) adults show substantial variation in their risk of develop...
Large-scale diffusion models such as FLUX (12B parameters) and Stable Diffusion 3 (8B parameters) re...
Scaling federated learning (FL) to billion-parameter models introduces critical trade-offs between c...