WP 1.7: AI-Driven Personalized Perioperative Management in Colorectal Cancer: A Randomized Controlled Clinical Trial - The AIDPRO-CRC trial

We will investigate how incorporating artificial intelligence (AI) based risk prediction model into the decision-making process for perioperative treatment stratification can help minimize the rate of complications in the postoperative course for newly diagnosed colorectal cancer (CRC) patients undergoing elective curative-intent surgery. Seven centers across all five Danish regions will utilize a software platform designed to facilitate the randomization process. Patients will be stratified to one of four risk profiles (Low (<1%), moderate (1-5%), high (5-15%), or very high (>15%) risk of 1-year mortality) based on either an artificial intelligence (AI)-
augmented approach (intervention arm) or an expert physician-based (control arm) risk stratification. The randomization process will ensure that the allocation of patients to the different risk groups is balanced and unbiased between the intervention and control arms. The assigned risk group will then determine the individualized treatment trajectories for each patient, regardless of whether they are in the intervention or control arm. The treatment pathways include preoperative, intraoperative, and postoperative interdisciplinary optimization led by surgeons, anesthesiologists, physiotherapists, geriatricians, and dietitians to optimize the perioperative course of the patient according to the risk prediction.

Awarded to: Ismail Gögenur (Center for Surgical Science) – CFA1

Awarded grant to support VIP personnel.