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Artificial Intelligence & Analytics

Data governance, interoperability are must-haves for pop health analytics

8:48

Jonathan Weiner, professor at Johns Hopkins Bloomberg School of Public Health, discusses some of the data fundamentals necessary for effective AI and machine learning algorithms.

 

The vast promise (and very real hurdles) of healthcare AI

Deep Dive: From clinical decision support to revenue cycle to cybersecurity, machine learning algorithms are already transforming healthcare – but so much depends on how they're implemented.
 

With growing shortage of doctors, AI may be key to helping diabetes, chronic conditions

Julia Hu, founder and CEO of Lark Health, discusses why virtual care may be the way of the future for treating diabetes.
 

How COVID-19 is highlighting the need for real-time analytics

Medicomp made early coronavirus-specific changes to its database and AI engine as the pandemic took hold in February – CEO Dave Lareau explains how the company has continued to innovate since then.
 

Artificial intelligence standardizing clinician-driven, evidence-based medicine

(Sponsored) Montreal-based software startup Imagia is expanding AI into cancer research, says Chief Technology Officer Florent Chandelier.