AI fares better than doctors at predicting deadly complications after surgery
Johns Hopkins researchers create an artificial intelligence model to mine rich, predictive data from routine ECG tests
By
Published
Sept 17, 2025
A new artificial intelligence model found previously undetected signals in routine heart tests that strongly predict which patients will suffer potentially deadly complications after surgery. The model significantly outperformed risk scores currently relied upon by doctors.
The federally funded work by Johns Hopkins University researchers, which turns ...
Read more at hub.jhu.edu