Johns Hopkins University Sep 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 standard and inexpensive test results into a potentially life-saving tool, could transform decision-making