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Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach.
Sci Rep
January 2025
Ministry of Higher Education, Mataria Technical College, Cairo, 11718, Egypt.
The current work introduces the hybrid ensemble framework for the detection and segmentation of colorectal cancer. This framework will incorporate both supervised classification and unsupervised clustering methods to present more understandable and accurate diagnostic results. The method entails several steps with CNN models: ADa-22 and AD-22, transformer networks, and an SVM classifier, all inbuilt.
View Article and Find Full Text PDFNetwork Meta-Analysis: Comparison of Endoscopic Dysplasia Detection Technologies in Inflammatory Bowel Disease.
Aliment Pharmacol Ther
January 2025
Division of Gastroenterology and Hepatology, Department of Medicine, McGill University Health Center, Montreal, Quebec, Canada.
Background: Novel colorectal cancer endoscopic surveillance techniques for inflammatory bowel disease (IBD) have recently been developed.
Aims: Compare the efficacy of currently available techniques for dysplasia detection in colonic IBD.
Methods: We conducted a systematic literature search from inception to March 2024 for randomized controlled trials (RCTs) or prospective cohort studies enrolling adults with IBD and having surveillance colonoscopy for dysplasia screening.
Multilevel intervention for follow-up of abnormal FIT in the safety-net: IMProving Adherence to Colonoscopy through Teams and Technology (IMPACTT).
Contemp Clin Trials
January 2025
Division of General Internal Medicine, Department of Medicine, University of California San Francisco, San Francisco, California, USA; Center for Vulnerable Populations, Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, California, USA; School of Medicine, University of California San Francisco, San Francisco, California, USA. Electronic address:
Background: Fecal immunochemical testing (FIT) is a widely used first step for colorectal cancer (CRC) screening. Abnormal FIT results require a colonoscopy for screening completion and CRC diagnosis, but the rate of timely colonoscopy is low, especially among patients in safety-net settings. Multi-level factors at the clinic- and patient-levels influence colonoscopy completion after an abnormal FIT.
View Article and Find Full Text PDFNon-colorectal Cancer Screening and Vaccinations in Patients with Inflammatory Bowel Disease: Expert Review.
Clin Gastroenterol Hepatol
January 2025
Inflammatory Bowel Disease Center, Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville FL. Electronic address:
Description: The aim of this American Gastroenterological Association (AGA) Clinical Practice Update (CPU) is to provide best practice advice (BPA) statements for gastroenterologists and other health care providers who provide care to patients with inflammatory bowel disease (IBD). The focus is on IBD-specific screenings (excluding colorectal cancer screening, which is discussed separately) and vaccinations. We provide guidance to ensure that patients are up to date with the disease-specific cancer screenings, vaccinations, as well as advice for mental health and general wellbeing.
View Article and Find Full Text PDFThe optimal labelling method for artificial intelligence-assisted polyp detection in colonoscopy.
J Formos Med Assoc
December 2024
Endoscopy Center for Diagnosis and Treatment, Taipei Veterans General Hospital, Taiwan; Division of Gastroenterology, Taipei Veterans General Hospital, Taiwan; Institute of Brain Science, National Yang Ming Chiao Tung University School of Medicine, Taiwan. Electronic address:
Background: The methodology in colon polyp labeling in establishing database for ma-chine learning is not well-described and standardized. We aimed to find out the best annotation method to generate the most accurate model in polyp detection.
Methods: 3542 colonoscopy polyp images were obtained from endoscopy database of a tertiary medical center.
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