In July this year, Google DeepMind joined hands with Google Research and introduced the Complimentary-driven-Deferral-to-Clinical-Workflow (CoDoC), a system that maximises accuracy by combining human expertise with predictive AI. The system essentially decides if the AI model is more accurate than a hypothetical clinician’s workflow of diagnosis. It does this using a confidence score of the predictive model as one of the inputs.

The comprehensive tests of the CoDoC with multiple real-world datasets has shown that with human expertise and predictive AI results with CoDoC provides greater accuracy. They saw a reduction of 25% in false positives for mammography datasets and more importantly, didn’t miss any true positives.

Read more:

Krithika, K. L. (2023, August 3). Google AI Helps Doctors Decide When to Trust AI Diagnoses. Analytics India Magazine. https://analyticsindiamag.com/google-ai-helps-doctors-decide-when-to-trust-ai-diagnoses/