AI and Polyp Detection During Colonoscopy.

• Tác giả: Ludovico Alfarone, Luca Brandaleone, Antonio Capogreco, Matteo Colombo, Roberto De Sire, Antonio Di Martino, Alessandro Fugazza, Cesare Hassan, Roberta Maselli, Davide Massimi, Maddalena Menini, Daryl Ramai, Alessandro Repici, Tommy Rizkala, Marco Spadaccini
• Ngôn ngữ: eng
• Ký hiệu phân loại: 623.31 Defense against invasion
• Thông tin xuất bản: Switzerland : Cancers , 2025
• Bộ sưu tập: NCBI
• ID: 704513

Tóm tắt

 Colorectal cancer (CRC) prevention depends on effective colonoscopy
  yet variability in adenoma detection rates (ADRs) and missed lesions remain significant hurdles. Artificial intelligence-powered computer-aided detection (CADe) systems offer promising advancements in enhancing polyp detection. This review examines the role of CADe in improving ADR and reducing adenoma miss rates (AMRs) while addressing its broader clinical implications. CADe has demonstrated consistent improvements in ADRs and AMRs
  largely by detecting diminutive polyps, but shows limited efficacy in identifying advanced adenomas or sessile serrated lesions. Challenges such as operator deskilling and the need for enhanced algorithms persist. Combining CADe with adjunctive techniques has shown potential for further optimizing performance. While CADe has standardized detection quality
  its long-term impact on CRC incidence and mortality remains inconclusive. Future research should focus on refining CADe technology and assessing its effectiveness in reducing the global burden of CRC.