Artificial Intelligence Usage in Colonoscopy for Polyps in 2025: A Short Review


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Bilgin S., Adanır H., Açıkgöz A., Fidan Özkumur G., Uslu F. K., Karataş S. İ., ...More

International Conference on Next-Generation Engineering Technologies (ISNET'2025), Antalya, Turkey, 30 October - 01 November 2025, pp.42-43, (Full Text)

  • Publication Type: Conference Paper / Full Text
  • City: Antalya
  • Country: Turkey
  • Page Numbers: pp.42-43
  • Open Archive Collection: AVESIS Open Access Collection
  • Akdeniz University Affiliated: Yes

Abstract

Colorectal cancer (CRC) is among the most common cancers worldwide, with polyps serving as key precancerous indicators. Recent studies emphasize that simple detection is insufficient; accurate classification into subcategories is critical for clinical decision-making. Deep learning approaches, including MobileNet, ResNet, GoogLeNet, and Vision Transformers, have been applied, achieving accuracies up to 98.87%. Overall, integrating multiple artificial intelligence (AI) models improves diagnostic accuracy and supports gastroenterologists, though real-world imaging challenges persist.