Latest AI and machine learning research in medical education for healthcare professionals.
Pepsin-like aspartic proteases (PAPs) are a class of aspartic proteases which shares tremendous stru...
The ability to present three-dimensional (3D) scenes with continuous depth sensation has a profound ...
With increased demands on surgeon productivity and outcomes, residency robotics training increasing...
At present, human health is threatened by many diseases, and lung cancer is one of the most dangerou...
Performance of supercomputers has been steadily and exponentially increasing for the past 20 years, ...
Task-trained artificial recurrent neural networks (RNNs) provide a computational modeling framework ...
OBJECTIVE: To evaluate the utility of a society-based robotic surgery training program for fellows i...
Robot-assisted radical cystectomy (RARC) continues to expand, and several surgeons start training fo...
From the nano-scale to the macro-scale, biological tissue is spatially heterogeneous. Even when tiss...
Planning for mass vaccination against SARS-Cov-2 is ongoing in many countries considering that vacci...
The global population is at present suffering from a pandemic of Coronavirus disease 2019 (COVID-19)...
Due to the inter- and intra- variation of respiratory motion, it is highly desired to provide real-t...
The practice of medicine is characterized by decision making in which digital techniques can provid...
Artificial intelligence and machine learning (AI-ML) have taken center stage in medical imaging. To ...
Information on ecological systems often comes from diverse sources with varied levels of complexity,...
Training of surgeons is essential for safe and effective use of robotic surgery, yet current assessm...
This manuscript describes neuromechanical modeling of the fruit fly Drosophila melanogaster in the f...
OBJECTIVE: To summarize our initial experience with robot-assisted complete mesocolic excision (R-CM...