Latest AI and machine learning research in medical education for healthcare professionals.
Canola meal, a by-product of canola oil processing, is a source of bioactive compounds that show ant...
PURPOSE: Complete mesocolic excision (CME) has been associated with improved oncological outcomes in...
INTRODUCTION: With the widespread adoption of minimally invasive surgery, there is a growing need fo...
There is increasing demand for colorectal robotic training for general surgery residents. We impleme...
Flexible bronchoscopy is a technically difficult procedure and has been identified as the most impor...
Several radiology artificial intelligence (AI) courses are offered by a variety of institutions and ...
PROBLEM: Implementation of competency-based medical education has necessitated more frequent trainee...
The correlation between driving skills and the ability to perform robotic surgery have not yet been ...
Decades of nanotoxicology research have generated extensive and diverse data sets. However, data is ...
While laparoscopic simulation-based training is a well-established component of general surgery trai...
INTRODUCTION: While the performance of a thyroidectomy is generally associated with a low risk of in...
: The role of the pharmacist in healthcare society is unique, since they are providers of health inf...
. Bloch simulation constitutes an essential part of magnetic resonance imaging (MRI) development. Ho...
The integration of artificial intelligence (AI) into medical education has the potential to revoluti...
OBJECTIVE: To provide the first clinical validation of the European Association of Urology Robotic U...
Artificial intelligence (AI) is widely used in the field of education at present, but people know li...
The use of virtual reality for simulations plays an important role in the initial training for robot...
Machine learning methods are widely used within the medical field. However, the reliability and effi...
Cities worldwide are facing the dual pressures of growing population and land expansion, leading to ...
. The image reconstruction of ultrasound computed tomography is computationally expensive with conve...