The healthcare sector is increasingly reliant on digital technologies, demonstrating a strong commitment to using advanced tools for better patient care and more efficient data management. However, ...

1. A group of five machine learning algorithms identified whether a patient was a suitable candidate for corneal refractive surgery with 93.4 percent accuracy, a level equal to that of expert ...

A multi-institutional research team has demonstrated how AI and machine learning can optimize therapy selection and dosing ...

There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...

Please provide your email address to receive an email when new articles are posted on . Machine learning models can predict which patients receiving lung cancer therapy may need urgent care visits.

Patel is a social worker turned data scientist and the VP of data science and AI at Waymark. As we approach the end of 2024, First Opinion is publishing a series of essays on the state of AI in ...

Metabolite data and AI combine to redefine how we measure aging and predict health spans. Study: Metabolomic age (MileAge) predicts health and life span: A comparison of multiple machine learning ...

Researchers say the study indicates the ability to bring the power of AI and patient-reported outcomes directly into the clinic seamlessly, affordably, and at scale.

Patent Issued for Systems and methods for determining and using health conditions based on machine learning algorithms and a smart vital device (USPTO 11742086): Aetna Inc.

In August 2022 the Department of Health and Human Services (HHS) issued a notice of proposed rulemaking prohibiting covered entities, which include health care providers and health plans, from ...