This AI can prevent your death 10 years from now. So how does THAT work?

Trayanova's lab built its AI to close the big prognostic gaps in SCD. To construct the system, her team trained a machine on 10 years of patient records from 156 people with heart conditions who agreed to share their medical information. They shared everything in their patient records, from MRIs of their hearts to 22 other pieces of potentially relevant information including race, weight, drug use, and hypertension. By feeding all the MRI scans into a machine learning system, researchers were able to discern hidden patterns, such as how scar tissue and other components of someone's heart make them predisposed to SCD. (Technically, a second AI was built to understand how smoking or other factors can impact this probability, too.) Then, after building their software, researchers validated their tool against patient data from 60 health centers across the U.S. The AI outperformed doctors in its diagnoses.