Without the capture of standardized outcomes data, machine-learning benefits will be limited in addressing the biggest opportunities for improving value in health care.

Providence St. Joseph Health is already proving that artificial intelligence and machine learning technologies can have a meaningful impact on the delivery of healthcare today. The Renton, ...

This study demonstrates that it is possible to generate a highly accurate model to predict inpatient and emergency department utilization using data on socioeconomic determinants of care.

The Lacuna Fund supports the creation of machine learning data sets representing low- and middle-income countries and is working on health care; a new project at University Hospitals Birmingham in ...

An expert in machine learning and natural language processing discusses how these technologies are enhancing care and enabling the use of SDOH data and personalized analytics.

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases ...

In this article we explore how privacy-preserving distributed machine learning from federated databases might assist governance in health care. The article first outlines the basic parameters of the ...

While robots and computers will probably never completely replace doctors and nurses, machine learning/deep learning and AI are transforming the healthcare industry, improving outcomes, and ...

Machine learning will dramatically improve health care. There are already myriad impactful ML health care applications from imaging to predicting readmissions to the back office. But there are ...