Latest AI and machine learning research in medical education for healthcare professionals.
The purpose of this ambispective study was to investigate whether deep learning-based automatic segm...
With the recent growth of the Internet of Things (IoT) and the demand for faster computation, quanti...
BACKGROUND: As the information age wanes, enabling the prevalence of the artificial intelligence age...
We propose a novel unified frameork for automated distributed active learning (AutoDAL) to address m...
Computational analysis of drug solubility was carried out using machine learning approach. The solub...
One of the most challenging topics in robotics is simultaneous localization and mapping (SLAM) in th...
Robotic surgical training is undergoing a period of transition now that new robotic operating platfo...
Anatomy is taught in the early years of an undergraduate medical curriculum. The subject is volatile...
RATIONALE AND OBJECTIVES: To evaluate the effectiveness of an artificial intelligence (AI) in radiol...
Three-dimensional surgical simulation, already in use for hepatic surgery, can be used in pancreatic...
More than 7000 per- and polyfluorinated alkyl substances (PFAS) have been documented in the U.S. Env...
Robotic surgery training has lacked evidence-based standardisation. We aimed to determine the effect...
With the continuous expansion of the Internet in China, network communication models and network ser...
Hyperdimensional computing (HDC) is a brain-inspired computing paradigm that operates on pseudo-rand...
Stroke-related disabilities can have a major negative effect on the economic well-being of the perso...
Artificial intelligence has become ubiquitous with modern technology. Digital transformations are oc...
We propose a multi-agent learning approach for designing crowdsourcing contests and All-Pay auctions...
There is still a certain deviation between the current artificial intelligence technology and the tr...
BACKGROUND: Natural language processing (NLP) may be a tool for automating trauma teamwork assessmen...
Deep neural networks (DNNs) have shown success in image classification, with high accuracy in recogn...
Ideological and political education is the most important way to cultivate students' humanistic qual...