In this episode, I talk with Dean Freestone, co-founder and CEO of Seer, about epilepsy. Seer uses home monitoring to diagnose and manage neurological conditions, relieving bottlenecks in the healthcare system.

Highlights:

• Using machine learning to summarize data to reduce the labor intensive search for episodic events.
• Handling imbalanced datasets. 
• Controlling the workflows to enable gathering and annotating huge datasets.
• Working with technicians to speed up review of EEG data.
• Using machine learning to capture features that doctors can’t describe.
• Dealing with low inter-reviewer agreement from clinicians.
• How bias can manifest is neurological data.
• Do not underestimate the cost and amount of work to build a healthcare AI startup.

Links:

Seer’s website

Seer on LinkedIn

Dean Freestone on LinkedIn

Resources for Computer Vision Teams:

LinkedIn – Connect with Heather.

Computer Vision Insights Newsletter – A biweekly newsletter to help bring the latest machine learning and computer vision research to applications in people and planetary health.

Computer Vision Strategy Session – Not sure how to advance your computer vision project? Get unstuck with a clear set of next steps. Schedule a 1 hour strategy session now to advance your project.

Computer Vision Advisory Services – Monthly advisory services to help you strategically plan your CV/ML capabilities, reduce the trial-and-error of model development, and get to market faster.