Machine Learning & AI for Healthcare 2019

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

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

 

Digital health 'sherpas' helping guide the journey of bringing AI to healthcare

Dr. Sujay Kakarmath, digital health scientist at Partners HealthCare Pivot Labs, explains how the Boston organization is enabling collaboration between hospitals, health systems and other stakeholders such as big tech and pharma.
 

AI is having real-world impact at Cleveland Clinic, Duke and beyond

Todd Schlesinger, VP of business development at Jvion, says AI has already moved beyond its status as a novel technology with exciting potential use cases, to one that is already helping solve real-world challenges and improving patient outcomes.
 

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.

 

Building a collaborative approach to patient-centric artificial intelligence initiatives

(Sponsored) GE Healthcare offers a preview of how its new Edison platform will improve workflow, clinical insight and patient satisfaction.