ARTIFICIAL INTELLIGENCE IN GASTROINTESTINAL SURGERY

Artificial_Intelligence_in_Gastrointestinalkapak

ARTIFICIAL INTELLIGENCE (AI) IN ESOPHAGUS DISEASES

Mehmet Reşit Sönmez

Evliya Çelebi Training and Research Hospital, Department of Gastroenterology Surgery, Kütahya, Türkiye

Sönmez MR. Artificial Intelligence (AI) in Esophagus Diseases. Çaycı HM, ed. Artificial Intelligence (AI) in Gastrointestinal Surgery. 1st ed. Ankara: Türkiye Klinikleri; 2025. p.35-43.

ABSTRACT

Artificial intelligence (AI) is a technology that enables human-like reasoning and autonomous decision-making. In recent years, its use in medicine has increased significantly, leading to advances in diagnosis and treatment. In esophageal diseases, AI technologies are increasingly used to overcome diagnostic and management challenges. AI reduces endoscopist dependency and increases the sensitivity of cancer detection by real-time lesion detection during endoscopy. Early esophageal cancer detection is the best tool for treating cancer and improving prognosis. Therefore, most AI efforts in esophageal cancer have focused on detecting early-stage cancer. AI provides consistent and reliable diagnostic results by reducing interindividual variability in manometric assessment. Additionally, AI applications are increasingly used in robotic surgery for esophageal diseases and reduce surgical complications. AI provides optimal treatment results by developing treatment strategies based on individual patient profiles. AI ultimately offers personalized treatment approaches. AI facilitates and improves advantages in many areas, but it also has disadvantages. Data privacy and algorithm transparency risks are significant concerns. Developing multimodal systems that integrate data from different sources, such as imaging, genetics, and electronic records of esophageal diseases, appear as highlights for future AI studies. In light of all matters discussed, it is better understood that AI improves the diagnosis and management of esophageal diseases by improving accuracy, efficiency, and personalization.

Keywords: Artificial intelligence (AI); Esophageal diseases; Esophageal cancer; Esophageal movement disorders; Endoscopy

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