Ben Li, Blair E Warren, Naomi Eisenberg, Derek Beaton, Douglas S Lee, Badr Aljabri, Raj Verma, Duminda N Wijeysundera, Ori D Rotstein, Charles de Mestral, Muhammad Mamdani, Graham Roche-Nagle, Mohammed Al-Omran
IMPORTANCE: Endovascular intervention for peripheral artery disease (PAD) carries nonnegligible perioperative risks; however, outcome prediction tools are limited. OBJECTIVE: To develop machine learning (ML) algorithms that can predict outcomes following endovascular intervention for PAD. DESIGN, SETTING, AND PARTICIPANTS: This prognostic study included patients who underwent endovascular intervention for PAD between January 1, 2004, and July 5, 2023, with 1 year of follow-up...
March 4, 2024: JAMA Network Open