Ohio State medical student Brent Henderson's day begins with a virtual patient powered by artificial intelligence, which is a part of a training exercise designed to sharpen his interview skills.

Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...

Large-scale recommendation systems are becoming harder to improve because they no longer operate as isolated models. Modern ...

An innovative partnership has yielded powerful new tools to help federal agencies rapidly synthesize complex data, historical ...

Climate and ocean models use a series of equations to represent complex natural processes. However, the equations used in ...

A study led by Georgia Institute of Technology's Associate Professor Costas Arvanitis takes a major step toward safer and more effective treatment and diagnosis of brain diseases. His team's research, ...

This repository hosts the open sources of the Neo4j Graph Data Science (GDS) library. The GDS library is a plugin for the Neo4j graph database. GDS comprises graph algorithms, graph transformations, ...

Doctors in the state of Utah are challenging an artificial intelligence-powered prescription medication refill system they say puts patient safety at risk. In January, the state inked a partnership ...

SINGAPORE – In the wee hours every day, a yellow robot-like machine the size of a train cabin whirs steadily as it clamps rails together and fuses them in an open yard at Ulu Pandan Depot near Bukit ...

I work in statistical machine learning theory which aims to understand performance limits in various problems of modern interest, and pinpoint beneficial aspects of data that ML procedures might ...

Objective: This study aimed to utilize machine learning to identify coronary angiographic vascular characteristics and PCI procedures associated with the immediate procedural success rates of PCI in ...