ARTIFICIAL INTELLIGENCE IN GASTROINTESTINAL SURGERY

Artificial_Intelligence_in_Gastrointestinalkapak

ARTIFICIAL INTELLIGENCE (AI) IN LOWER GASTROINTESTINAL ENDOSCOPY

Rıdvan Yavuz

Antalya Training and Research Hospital, Department of Gastroenterology Surgery, İstanbul, Türkiye

Yavuz R. Artificial Intelligence (AI) in Lower Gastrointestinal Endoscopy. Çaycı HM, ed. Artificial Intelligence (AI) in Gastrointestinal Surgery. 1st ed. Ankara: Türkiye Klinikleri; 2025. p.173-185.

ABSTRACT

Lower gastrointestinal system endoscopy includes a group of diagnostic procedures commonly used to evaluate the lower parts of the digestive system and diagnose diseases. These methods are crucial in early diagnosis and screening processes. However, challenges in identifying small, flat, or camouflaged polyps, especially for less experienced endoscopists, can increase false-negative rates due to difficulty in visualizing lesions and making accurate diagnoses. The dependency of screening quality and scope on the endoscopist may lead to overlooked areas and missed diagnoses. Traditional methods often require lengthy examinations, increasing per-patient procedure times, which reduces daily procedure capacity due to time loss and workload. Fatigue, loss of focus, and human error, such as missed findings, further contribute to inaccuracies.Artificial intelligence (AI) has the potential to revolutionize these challenges. AI-powered image processing algorithms enhance the detection and characterization of lesions, allowing the precise identification of even small and flat polyps. By flagging lesions that the endoscopist may overlook, AI reduces false-negative rates. Additionally, AI ensures complete colon screening with real-time monitoring, improving both screening coverage and diagnostic accuracy. AI systems automate image analysis, reducing procedure times and enhancing time management and efficiency. This alleviates the workload of endoscopists, enabling them to treat more patients.AI also plays a vital role in operator training and standardization. By guiding new endoscopists in a didactic manner, AI helps improve endoscopy skills and ensures standardized results. Moreover, AI is transforming healthcare by advancing personalized medicine, early diagnosis, and optimizing clinical processes. In lower gastrointestinal system endoscopy, AI has the potential to improve diagnostic accuracy and time management. Its ability to detect diseases at an early stage can enhance treatment outcomes and quality of life.Additionally, AI minimizes human errors and provides standardized evaluations, increasing reliability in clinical practice. Future studies should focus on data diversity, algorithm development, and regulatory frameworks. Effectively integrating AI into healthcare requires not only technological advancements but also consideration of patient safety and ethical principles. This transformation will create new opportunities for both healthcare professionals and patients. Comprehensive training is essential to help healthcare professionals understand and utilize AI technologies as its clinical application becomes widespread.

Keywords: Lower gastrointestinal system endoscopy; Artificial intelligence; Polyps; Inflammatory bowel disease; Healthcare transformation; Technology; Innovation

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