Artificial Intelligence Applications in Healthcare - Transforming Healthcare, Episode 7, Part 2
September 19, 2022


In a previous video we introduced the concept of artificial intelligence aka AI. In this video we’ll discuss the way to apply AI in healthcare with some examples. Here’s what you need to know in a nutshell!

Host: Em Tombash, MD

Currently, roles for AI in medical settings mostly for clinical decision support and imaging analysis. While clinical decision support tools help providers make decisions about treatments, medications, mental health and other patient needs; AI tools are being used to analyze CT scans, x-rays, MRIs in medical imaging.

But AI has so much more to give healthcare.

A healthcare startup, Innocens BV uses predictive AI to identify infants at risk of developing sepsis by up to several hours, which creates a higher chance for a better outcome for these infants. Neonatologist Dr. David Van Laere who is the Founder of Innocens BV explains their product “The edge computing solution we developed—which uses real-time data from medical sensors and runs on IBM Cloud—reduces the time required to identify at-risk infants by up to several hours. And the fact that it’s 75% accurate in detecting severe sepsis, generating less than one false alarm per week, keeps doctors focused on where it matters most.”

Harvard University’s teaching hospital doctors developed AI-enhanced microscopes to scan for harmful bacterias like E. coli and staphylococcus in blood samples at a faster rate than is possible using manual scanning. 25,000 images of blood samples are being used by scientists to teach the machines how to search for bacteria. Now the machines know how to identify and predict harmful bacteria in blood with 95 percent accuracy.

Johns Hopkins Hospital uses predictive AI techniques to improve the efficiency of patient operational flow. With some help, AI quickly prioritized hospital activity to benefit patients. Since implementing the program, the facility has assigned patients admitted to the emergency department to beds 38% faster.

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