Latest AI and machine learning research in work force for healthcare professionals.
This study presents an application of the self-organizing migrating algorithm (SOMA) to train artifi...
Patients with type 2 diabetes mellitus (T2DM) who have severe hypoglycemia (SH) poses a considerable...
Rapid on-site cytopathology evaluation (ROSE) has been considered an effective method to increase th...
The integration of artificial intelligence (AI) into healthcare systems within low-middle income cou...
Cloud-based training and edge-based inference modes for Artificial Intelligence of Medical Things (A...
This study aimed to compare postural assessment and postural awareness using the artificial intelli...
OBJECTIVE: This study aimed to evaluate the effectiveness of robot-assisted gait training (RAGT) and...
Numerous automatic sleep stage classification systems have been developed, but none have become effe...
The increasing integration of telehealth systems underscores the importance of robust and secure met...
BACKGROUND: Delivering HD-tDCS on individual motor hotspot with optimal electric fields could overco...
The analysis and interpretation of cytopathological images are crucial in modern medical diagnostics...
BACKGROUND: Artificial intelligence (AI) in medical imaging diagnostics has huge potential, but huma...
PURPOSE: To explore artificial intelligence's impact on surgical education, highlighting its advanta...
OBJECTIVE: This study addresses challenges in surgical education, particularly in neuroendoscopy, wh...
OBJECTIVE: Attention decoding plays a vital role in daily life, where electroencephalography (EEG) h...
BACKGROUND: Robot-Assisted Gait Training (RAGT) is a novel technology widely employed in the field o...
BACKGROUND: The aging population and the shortage of geriatric care workers are major global concern...
Semi-passive rehabilitation robots resist and steer a patient's motion using only controllable passi...
SIGNIFICANCE: Oral cancer surgery requires accurate margin delineation to balance complete resection...
Early-exiting has recently provided an ideal solution for accelerating activity inference by attachi...
BACKGROUND AND PURPOSE: Functional recovery after stroke is often limited, despite various treatment...