Unique applications of Computer Vision and Machine Learning in the Operating Room

siddarth satish, gauss surgical

Gauss is a technology company that develops computer vision and machine learning-based solutions for the operating room. The company’s initial product, which measures blood loss during surgery by taking a picture of blood-soaked items with an iPad, is used in over 50 hospitals in the US, covering over 200,000 annual procedures. As artificial intelligence is often thought of as offering the promise of transforming healthcare in the future, we work to deliver AI-based solutions that help patients today. This talk will discuss the challenges of integrating innovative technology into the dynamic and complex environment of the operating room, leveraging consumer-focused hardware like the iPad to create an FDA-grade medical device, and creating products that are intuitive for users and accessible through the Apple App store. In particular, I’ll speak to how a start-up can rapidly innovate and disrupt in an entrenched healthcare market.

About Siddarth:
Siddarth Satish is the Founder and CEO of Gauss Surgical, a medical technology company using computer vision and machine learning to make surgery and childbirth safer and more cost-effective. Gauss’s first application, Triton, uses computer vision to monitor blood loss from digital images of sponges and canisters, with the goal addressing inaccurate visual estimation of blood loss and improving patient safety. In his operating role, Siddarth has led the team through seven US/EU regulatory clearances and raised $45 million in venture capital. Triton has been adopted by 50 hospitals in the US and received a 2018 Apple Design Award, which recognizes the best in design, innovation and technology on Apple platforms. Siddarth previously served as an Entrepreneur-in-Residence at StartX, Stanford University’s Startup Accelerator, and as a SIMdesign Fellow in the Department of Surgery at Stanford. Siddarth was born in India and immigrated to the United States at the age of 7. He holds a B.S. in Chemical Engineering from the University of California, Berkeley, and an M.S. in Bioengineering from the UCSF/UC Berkeley Joint Graduate Group in Bioengineering, and was named to the Forbes 30 Under 30 list in healthcare.