A machine-learning algorithm can register brain scans and other 3D images more than 1000 times faster than traditional systems. (Courtesy: the researchers) Medical image registration involves ...

An accurate estimation of the prevalence of paediatric asthma in Alberta and elsewhere is hampered by uncertainty regarding disease definition and diagnosis. Electronic medical records (EMRs) provide ...

It became clear in October 2019 that “racism” had occurred in a medical system that should not have data on race. Senators have stood up to this problem and are looking for improvements, but it seems ...

This is the official code for our paper: How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model, where we ...

Artificial intelligence algorithms are everywhere in healthcare. They sort through patients’ data to predict who will develop medical conditions like heart disease or diabetes, they help doctors ...

Most medical algorithms were developed using information from people treated in Massachusetts, California, or New York, according to a new study. Those three states dominate patient data — and 34 ...

Roche introduces navify® Algorithm Suite, a digital library of medical algorithms that enhances clinical decision-making to optimise patient care · At the global HIMSS 1 Conference, Roche showcases ...

The new algorithm makes use of a particular metric called detrended fluctuation analysis (DFA2 a1), which can detect changes in heart rate variability over time. The innovators at Dectrocel Healthcare ...

Black people in the US may be missing out on healthcare because a widely used algorithm is racially biased. The proportion of black people referred for extra care would more than double if the bias ...