Artificial intelligence-assisted colonoscopy: a narrative review of current data and clinical applications
James Weiquan Li, LM Wang, Tiing Leong Ang
Abstract
Colonoscopy is the reference standard procedure for the prevention and diagnosis of colorectal cancer, which is a leading cause of cancer-related deaths in Singapore. Artificial intelligence systems are automated, objective and reproducible. Artificial intelligence-assisted colonoscopy has recently been introduced into clinical practice as a clinical decision support tool. This review article provides a summary of the current published data and discusses ongoing research and current clinical applications of artificial intelligence-assisted colonoscopy.
Topics & Concepts
ColonoscopyMedicineColorectal cancerNarrative reviewClinical PracticeCurrent (fluid)MEDLINEMedical physicsArtificial intelligenceIntensive care medicineCancerInternal medicinePhysical therapyComputer scienceEngineeringElectrical engineeringPolitical scienceLawColorectal Cancer Screening and DetectionRadiomics and Machine Learning in Medical ImagingAI in cancer detection