The study investigated the ability of machine learning models to ... and socioeconomic determinants of care. Billing data were collected directly from the health systems’ EHRs.

Radiomics, the extraction of quantitative features from medical images, combined with AI, showed high accuracy in predicting ...

Machine learning models, used to predict future use of primary care ... VA has applied newer machine learning algorithms, demonstrating promise in producing predictions of future health outcomes ...

For these applications, AI and machine learning have been shown to help the health care provider by flagging aspects of images that deviate ... as it is largely applied today.

For the past three years, Google and Verily—Alphabet’s life sciences and healthcare arm ... manager at Google. The machine learning algorithm is being applied to screen for both diabetic ...

Investors see health care’s future as inextricably linked ... “When I look for examples of … true AI and machine learning that’s really making a difference, they’re pretty few and ...

The growing availability of real-world data has generated tremendous excitement in health care. By some estimates, health data volumes are increasing by 48% annually, and the last decade has seen ...