Computerassistierte Detektion in der Endoskopie
9 StudienPRACTICE (AI optical diagnosis)2025Safety of artificial intelligence-assisted optical diagnosis for leaving colorectal polyps in situ during colonoscopy (PRACTICE): a non-inferiority, randomised controlled trialBudzyń deskilling2025Endoscopist deskilling risk after exposure to artificial intelligence in colonoscopy: a multicentre, observational studyThiruvengadam CADe2024The Efficacy of Real-time Computer-aided Detection of Colonic Neoplasia in Community Practice: A Pragmatic Randomized Controlled TrialCOLO-DETECT2024Polyp detection with colonoscopy assisted by the GI Genius artificial intelligence endoscopy module compared with standard colonoscopy in routine colonoscopy practiceMangas-Sanjuan CADe (advanced neoplasia)2023Role of Artificial Intelligence in Colonoscopy Detection of Advanced NeoplasiasCADeT-CS2022Deep Learning Computer-aided Polyp Detection Reduces Adenoma Miss Rate: A United States Multi-center Randomized Tandem Colonoscopy Study (CADeT-CS Trial)Wallace CADe (tandem)2022Impact of Artificial Intelligence on Miss Rate of Colorectal NeoplasiaRepici CADe2020Efficacy of Real-Time Computer-Aided Detection of Colorectal Neoplasia in a Randomized TrialWang CADe2019Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study