Performance comparison between two computer-aided detection colonoscopy models by trainees using different false positive thresholds: a cross-sectional study in Thailand

• Main Authors: Kasenee Tiankanon (Author), Julalak Karuehardsuwan (Author), Satimai Aniwan (Author), Parit Mekaroonkamol (Author), Panukorn Sunthornwechapong (Author), Huttakan Navadurong (Author), Kittithat​ Tantitanawat (Author), Krittaya Mekritthikrai (Author), Salin Samutrangsi (Author), Peerapon Vateekul (Author), Rungsun Rerknimitr (Author)
• Format: Book
• Published: Korean Society of Gastrointestinal Endoscopy, 2024-03-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Background/Aims This study aims to compare polyp detection performance of "Deep-GI," a newly developed artificial intelligence (AI) model, to a previously validated AI model computer-aided polyp detection (CADe) using various false positive (FP) thresholds and determining the best threshol...