How AI Is Transforming Cancer Care: Faster Diagnostics and Personalized Treatment With Nathan Silberman

The speaker reports that Google developed AI models able to diagnose diabetic retinopathy and identify cardiovascular risk factors from eye images that no clinician could see, marking a pivotal moment in his shift to applied AI healthcare.

The speaker reports that as CTO, they work with the AI team to ensure algorithms are well developed, well tested, and highly reliable, and with the engineering team to deploy the test in a highly reliable, highly traceable manner regardless of location.

The speaker reports that artera's AI test continuously improves in accuracy as more data is added, unlike traditional genomic tests or chemical assays that do not improve annually.

“as we continue to add more and more data to the test it continues to just get more and more accurate and this is not something that you used to see in a lot of medical diagnostics you still don't see them in uh genomic tests or more traditional chemical assays with ai tests every single year the test is getting better and better and i've seen this at artera you know several years ago the test is at well enough accuracy today it's much much higher and i i guarantee next year it's gonna be even better”