Latest AI and machine learning research in work force for healthcare professionals.
Blood transfusion is life-saving for patients in emergencies, but low- and middle-income countries (...
This paper introduces a conceptual framework designed to embed equity, diversity, and inclusion (EDI...
The pronounced heterogeneity of the tumor microenvironment (TME) in colorectal cancer (CRC) presents...
PURPOSE: Artificial intelligence (AI) scribes are being rapidly adopted in oncology, yet their real-...
Graph Neural Networks (GNNs) have achieved strong performance in structured data modeling such as no...
This study aims to synthesize the perceptions and expectations of long-term caregivers regarding the...
Mental health disorders are some of the greatest contributors to the global disease burden, and heal...
OBJECTIVE: To expose reasoning pathways of a reinforcement learning policy for Medicaid care coordin...
Multiple sequence alignments (MSAs) have been traditionally used for making inferences about site-sp...
The spread of fake news about healthcare can result in a global health crisis, as it is easy to misl...
The World Transplant Congress 2025 showcased pivotal advances shaping the future of transplantation....
As healthcare accelerates into an era defined by artificial intelligence, precision medicine, and ad...
Burnout among healthcare workers in Canada remains a critical challenge with implications for workfo...
BACKGROUND: Carpal tunnel syndrome (CTS) is a prevalent neuropathy in hand surgery that significantl...
Masked Autoencoders (MAEs) have grown increasingly prominent as a powerful self-supervised learning ...
Nurses have expressed a growing interest in artificial intelligence (AI), but automation tools remai...
Cervical spondylosis is one of the most common degenerative diseases, seriously affecting life quali...
Healthcare is undergoing rapid digital transformation, with artificial intelligence (AI), automated ...
Reported instances of AI-assisted, blanket denials of coverage have increased in recent years, parti...
Urban trees are attracting increasing interest due to their contribution to mitigating some negative...
INTRODUCTION: Fragment-based drug discovery (FBDD) employs the Grow-Merge-Link (GML) model to identi...