Latest AI and machine learning research in medical education for healthcare professionals.
The landscape of surgical training is rapidly evolving with the advent of artificial intelligence (AI) and its integration into education and simulation. This manuscript aims to explore the potential applications and benefits of AI-assisted surgical training, particularly the use of large language models (LLMs), in enhancing communication, personalizing feedback, and promoting skill development. W...
The use of robotic surgery (RS) in urology has grown exponentially in the last decade, but RS training has lagged behind. The launch of new robotic platforms has paved the way for the creation of innovative robotics training systems. The aim of our study is to test the new training system from Hugo™ RAS System-Medtronic. Between July 2020 and September 2022, a total of 44 residents from urology, g...
In biological species, optogenetics and bioimaging work together to regulate the function of neurons. Similarly, the light-controlled artificial synap...
BACKGROUND: We evaluated the outcomes of a robotic pancreaticoduodenectomy (RPD) program implemented at a community tertiary care hospital.
Spiking neural network (SNN) simulators play an important role in neural system modeling and brain function research. They can help scientists reprodu...
Magnetic resonance imaging (MRI) of the brain has benefited from deep learning (DL) to alleviate the burden on radiologists and MR technologists, and ...
Standardisation of an educational programme in robotic gynaecological surgery requires careful reflection to ensure that the correct surgeons are sele...
Deep learning (DL) techniques have seen tremendous interest in medical imaging, particularly in the use of convolutional neural networks (CNNs) for th...
Pre-operative simulated practice allows trainees to learn robotic surgery outside the operating room without risking patient safety. While simulation ...
BACKGROUND: Surgical simulation training enables surgeons to acquire clinical experience or skills from the operating room to the simulation environme...
Patient dose estimation in x-ray-guided interventions is essential to prevent radiation-induced biological side effects. Current dose monitoring syste...
BACKGROUND: Increased robotic surgery exposure during general surgery training occurs at many institutions without a formal education curriculum. Our ...
The use of artificial intelligence (AI) is deeply embedded in all aspects of our daily lives, promoting efficiency and safety in routine tasks at home...
A medical disorder known as diabetic retinopathy (DR) affects people who suffer from diabetes. Many people are visually impaired due to DR. Primary ca...
Artificial intelligence (AI) is driving global change. An AI language model like ChatGPT could revolutionize the delivery of nursing education in the ...
During the outbreak of COVID-19, many SARS-CoV-2 variants presented key amino acid mutations that influenced their binding abilities with angiotensin-...
Canola meal, a by-product of canola oil processing, is a source of bioactive compounds that show antioxidant and skin anti-aging effects through upcyc...
Human-robot interaction (HRI) describes scenarios in which both human and robot work as partners, sharing the same environment or complementing each o...
PURPOSE: Complete mesocolic excision (CME) has been associated with improved oncological outcomes in treatment of colon cancer. However, widespread ad...
Recently, extensive studies have focused on analyzing aerodynamic performance due to its important impact on aircraft design. Most of these works comp...