Latest AI and machine learning research in medical education for healthcare professionals.
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 20āÆyears, ...
In this research, two nonlinear models, namely; adaptive neuro-fuzzy inference system and feed-forwa...
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...
Management of reservoir systems is a complicated process involving many uncertainties regarding futu...
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...
In the fight against Covid-19, developed countries and developing countries diverge in success. This...
The global population is at present suffering from a pandemic of Coronavirus disease 2019 (COVID-19)...
Enantioseparation of three β-blockers, i.e., atenolol, metoprolol and propranolol, was studied on am...
Due to the inter- and intra- variation of respiratory motion, it is highly desired to provide real-t...
This paper aims to further increase the reliability of optimal results by setting the simulation con...
COVID-19 caused by the SARS-CoV-2 is a current global challenge and urgent discovery of potential dr...
OBJECTIVE: The aim is to evaluate whether smart worklist prioritization by artificial intelligence (...
The practice of medicine is characterized by decision making in which digital techniques can provid...
PURPOSE OF REVIEW: Partial differential equation (PDE) mathematical models of biological systems and...
Artificial intelligence and machine learning (AI-ML) have taken center stage in medical imaging. To ...