Latest AI and machine learning research in work force for healthcare professionals.
In recent decades, technological shifts within the healthcare sector have significantly transformed ...
The rapid evolution of telemedicine has revealed significant documentation and workflow challenges. ...
In the medical field, text annotation involves categorizing clinical and biomedical texts with speci...
Metagenomics, particularly genome-resolved metagenomics, have significantly deepened our understandi...
Accurately labeling large datasets is important for biomedical machine learning yet challenging whil...
Radiologists are prone to missing some colorectal cancers (CRCs) on routine abdominopelvic CT exami...
BACKGROUND: The prevalence of adolescent mental health conditions such as depression and anxiety has...
BACKGROUND: Interest has recently increased in generative artificial intelligence (GenAI), a subset ...
Artificial intelligence is a powerful tool that can potentially transform the diagnostic, therapeuti...
BACKGROUND: High-intensity functional training (HIFT) is typically performed with minimal or no rest...
The subcellular localization of circular RNAs (circRNAs) is crucial for understanding their function...
BACKGROUND: Children with cerebral palsy (CP) often experience gait impairments. Robot-assisted gait...
Graph neural network (GNN) architectures have emerged as promising force field models, exhibiting hi...
Kidney transplantation is the definitive treatment for end-stage renal disease (ESRD), yet challenge...
Breast cancer (BC) is a global problem, largely due to a shortage of knowledge and early detection. ...
The emergence of ChatGPT and similar new Generative AI tools has created concern about the validity ...
Computer vision based on instance segmentation deep learning models offers great potential for autom...
Control of movement is learned and uses error feedback during practice to predict actions for the ne...
Denoising artifacts, such as noise from muscle or cardiac activity, is a crucial and ubiquitous conc...
Continual Learning (CL) is recognized to be a storage-efficient and privacy-protecting approach for ...
Endoscopy is widely used to diagnose gastric cancer and has a high diagnostic performance, but it mu...