Artificial Intelligence for Colorectal Surgeons - Part I: Foundations, Clinical and Educational Applications.
Artificial intelligence-enhanced colonoscopy increases adenoma detection rate in multicenter trials.
Artificial Intelligence for Colorectal Surgeons - Part I: Foundations, Clinical and Educational Applications.
Artificial intelligence (artificial intelligence) is rapidly transforming colorectal surgery through applications spanning screening to postoperative care.
Part I examines fundamental artificial intelligence concepts, clinical applications across the surgical continuum, and educational considerations for colorectal surgeons.
Comprehensive literature review focusing on artificial intelligence applications in colorectal surgery, evaluating current evidence for clinical implementation and training approaches.
adenoma detection jumped with artificial intelligence assistance, better polyp catch rates
Artificial intelligence demonstrates measurable clinical impact across multiple domains.
Diagnostic applications include microsatellite instability prediction from histology and automated magnetic resonance imaging tumor segmentation.
Preoperatively, machine learning models predict mortality and morbidity, outperforming traditional risk scores like American Society of Anesthesiologists and The American College of Surgeon - National Surgical Quality Improvement Program.
Artificial intelligence technologies have achieved clinical validation for specific colorectal surgery applications, with several receiving regulatory approval.
Successful integration requires understanding fundamental concepts, appropriate clinical application, and structured training approaches.
Part II of this series examines research applications, implementation resources, challenges, and future directions that will further transform surgical practice.