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Machine Learning & AI for Healthcare 2019

AI in healthcare has come a long way, and quickly - where's it going next?

4:07

Badrul Husain, CEO of Infolytx, explains how his company's natural language processing technology is helping with clinical trial cohorts, and discusses how AI is gaining real traction elsewhere across healthcare.

 

Bundling predictive and descriptive analytics to create patient risk scores

Westchester Medical Center integrated data from the EHR using a machine learning algorithm to connect patients to the right sources of care, according to Simer Sodhi, the organization's director of data management & analytics.
 

How Cleveland Clinic harnesses machine learning for its pop health goals

Joseph Dorocak, manager of population health analytics at Cleveland Clinic, describes some of the staffing and process strategies the health system uses as it puts AI to work for two intertwined aims: better patient outcomes and financial return.
 

How to operationalize AI, putting it to work for better care at lower cost

Machine learning is only a means to an end, helping organizations learn from data more quickly and intuitively, says Leonard D'Avolio, founder and CEO of Cyft.

 

Automating ML and AI to improve speed, accuracy of predictive models

(Sponsored) DataRobot describes how advances in auto-machine learning and predictive analytics are enabling healthcare enterprises to be AI-driven.