To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the algorithm to recognize those health outcomes. That’s where ...

Furthermore, to build, test, and deploy machine-learning algorithms, organizations need internal policies and mechanisms to transfer health data in and out of legacy systems securely.

A new AI study describes a machine learning algorithm that was able to classify schizophrenia, ... machine learning has been gaining traction in health care, ... cerebral blood flow, and more.

Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart ...

Bias in a common health care algorithm disproportionately hurts black patients. Simple tweaks to the machine-learning program could eliminate the disparity, researchers say ...

Dr. Sim said that the new machine algorithm, when applied to bone density scans, could give clinicians more information around the vascular health of patients, which is an under-recognized risk ...

Machine learning is hard.Algorithms in a particular use case often either don't work or don't work well enough, leading to some serious debugging. And finding the perfect algorithm–the set of ...