ARTIFICIAL INTELLIGENCE IN GASTROINTESTINAL SURGERY

Artificial_Intelligence_in_Gastrointestinalkapak

ARTIFICIAL INTELLIGENCE (AI) IN HEPATOBILIARY DISEASES

Şeref Oray

Başakşehir Çam and Sakura City Hospital, Department of Gastroenterological Surgery, İstanbul, Türkiye

Oray Ş. Artificial Intelligence (AI) in Hepatobiliary Diseases. Çaycı HM, ed. Artificial Intelligence (AI) in Gastrointestinal Surgery. 1st ed. Ankara: Türkiye Klinikleri; 2025. p.91-100.

ABSTRACT

Artificial Intelligence (AI) is a broad term that refers to machine science that attempts to use computers to mimic human behaviour and cognitive functions. Today, liver disease is a major public health problem, causing approximately two million deaths worldwide each year and reducing quality of life. The increasing availability of large amounts of data and the computational power of artificial intelligence have begun to contribute to its use in many areas of medicine. This is mainly because AI can reveal the evidence-based medical logic hidden in the data through various models and algorithms to make diagnoses and provide individualised treatment decisions. Studies have demonstrated the use and importance of AI models in the management of liver disease. Most applications of AI are based on machine learning, a technique that can automatically learn, recognise certain patterns and make useful decisions based on available data. The most representative feature of deep learning is that it is based on real data and the decision-making process is carried out with minimal human intervention. At this point, and as evidence-based scientific data will be at the forefront, reliability and objectivity appear more objective. In this chapter, we will discuss the use of artificial intelligence in liver and biliary diseases. At the level of gastrointestinal surgery, we will briefly discuss, preoperative planning, the use of artificial intelligence in intraoperative surgery, the use of artificial intelligence in open and minimally invasive surgery, 4 its use in the postoperative care process, and finally the use and future role of artificial intelligence in liver transplantation.

Keywords: AI; Liver disease; Hepatobiliary surgery

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