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

• 主要な著者: Kasenee Tiankanon (著者), Julalak Karuehardsuwan (著者), Satimai Aniwan (著者), Parit Mekaroonkamol (著者), Panukorn Sunthornwechapong (著者), Huttakan Navadurong (著者), Kittithat​ Tantitanawat (著者), Krittaya Mekritthikrai (著者), Salin Samutrangsi (著者), Peerapon Vateekul (著者), Rungsun Rerknimitr (著者)
• フォーマット: 図書
• 出版事項: Korean Society of Gastrointestinal Endoscopy, 2024-03-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: 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...