There is always room for AI that improves the quality of human life.  In this case, we examine an artificial intelligence solution that is actually saving lives.  For stroke victims, the length of the process from scan to treatment is often the difference between life and death.  Today, many hospitals deal with preventable death due to processes that delay wait times for treatment of stroke patients.

 

In this episode, I sit with David Golan (Co-Founder and CTO of Viz.ai), to discuss various topics including AI in healthcare, data acquisition from startups, how AI forces you to reevaluate workflows, and much more.

 

If your company is looking to scale it’s AI initiatives, head over to Tesoro AI (www.tesoroai.com) – experts in AI strategy, staff augmentation, and AI product development.   

 

01:39  How a stroke mimic inspired David’s to build an AI to reduce healthcare system complexity

4:57  How strokes are caused and why patients experience delays in treatment

9:15 The genesis of Viz.ai – leveraging automation and deep learning to interpret scans

10:55  Working with physicians to determine best UI/UX

15:32  Determining the accuracy level required to deliver a high performing AI solution

17:38  Acquiring the data to train an ML model in healthcare

19:28  Solving challenges around data annotation

21:07  Great AI research vs great AI products

27:39  The importance of understanding customer workflow when developing AI solutions

29:41  Finding early adopters for the product

32:28 Favorite tech tool at Viz.ai

35:00  The people who have inspired David?