Latest AI and machine learning research in medical education for healthcare professionals.
OBJECTIVES: The CyberKnife system is a robotic radiosurgery platform that allows the delivery of lung SBRT treatments using fiducial-free soft-tissue tracking. However, not all lung cancer patients are eligible for lung tumor tracking. Tumor size, density, and location impact the ability to successfully detect and track a lung lesion in 2D orthogonal X-ray images. The standard workflow to identify...
Numerical method is widely used for solving the mechanistic models of chromatography process, but it is time-consuming and hard to response in real-time. Physics-informed neural network (PINN) as an emerging technology combines the structure of neural network with physics laws, and is getting noticed for solving physics problems with a balanced accuracy and calculation speed. In this research, a p...
Deep neural network (DNN) approaches have shown remarkable progress in automatic Chest X-rays classification. However, existing methods use a training...
BACKGROUND: Plan verification is one of the important steps of quality assurance (QA) in carbon ion radiotherapy. Conventional methods of plan verific...
The landscape of surgical training is rapidly evolving with the advent of artificial intelligence (AI) and its integration into education and simulati...
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 pl...
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...
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...