When we think about hospitals, it is easy to imagine a space that is overflowing with one emergency after another. In such a chaotic setting, patients with even the most severe conditions may be left on the back burner, potentially costing their life. Viz.ai focuses on streamlining the path of treatment and workflow between acute care patients and healthcare providers, decreasing the wait time for patients with life-threatening conditions.
Our guest today is Dr. David Golan, CTO and co-founder of Viz.ai, an applied AI healthcare company. Founded in 2015 by Dr. Golan and Dr. Chris Mansi, Viz.ai is the first FDA certified computer aided triage application to synchronize stroke care for patients needing time-sensitive treatments. Viz.ai’s technology connects hospitals to the cloud, allowing physicians to identify patients with acute conditions and reduce delays that could cost a patient’s life. Viz.ai is now being used in more than 500 hospitals since entering the market in 2018.
Today, we explored the inspiration behind the early startings of Viz.ai and the integration of machine learning and medicine. It was really interesting to learn more about how Viz.ai applies deep learning to medical imaging and integrates hospital data sets to the cloud allowing doctors accessibility on a mobile level.
Thank you David for your time on the show!
“The real power of AI here is not about accuracy. It’s not about helping doctors interpret the scan better, but it’s really about putting them in front of the scan and letting them exercise the expertise much, much sooner.”
Dr. David Golan
Key Moments
- 01:15 What does Viz.ai do?
- 04:36 How David’s Interest in Stroke and Acute Care Started
- 08:58 The start of Viz.ai
- 13:40 The problem with stroke care in hospitals
- 15:21 Navigating through regulations
- 20:50 How does Viz.ai work?
- 28:20 Using technology to improve hospital treatment
- 33:03 Challenges of an international market
- 34:37 Additional resources for those Interested in the healthcare tech space
*The great precision in post-production can be attributed to Maddie Bettencourt
**This post was written by the one and only Jenn Duan.
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