Habip Sarı

Ankara Etlik City Hospital, Department of Gastroenterological Surgery, Ankara, Türkiye

Sarı H. Artificial Intelligence (AI) in Emergent Gastrointestinal Surgery. Çaycı HM, ed. Artificial Intelligence (AI) in Gastrointestinal Surgery. 1^st ed. Ankara: Türkiye Klinikleri; 2025. p.135-143.

ABSTRACT

Artificial intelligence (AI) is bringing great strides into the arena of emergency gastrointestinal (GI) surgery, where fast and accurate decision-making is crucial. As the medical and technological landscape continues to evolve, so does AI, which empowers surgeons in the diagnosis, planning, and execution of complex surgical interventions. In emergencies, where time is of the essence, AI offers substantial benefits, ranging from preoperative assessments to postoperative care. By analyzing substantial amounts of data quickly and accurately, AI can enhance outcomes, reduce risks, and optimize patient recovery.

AI in emergent GI surgery was initially applied in diagnostics. Machine learning algorithms can analyze medical imaging, including computed tomography (CT) scans, magnetic resonance imaging (MRI), and endoscopic images, for evidence of GI emergencies such as perforations, obstructions, or bleeding. These algorithms can identify abnormalities much faster than traditional methods, providing doctors with a much clearer view of internal conditions, especially in urgent situations when each second counts.

In the operating room, AI-enhanced robotic systems are taking hold. Using AI to provide real-time guidance improves precision in minimally invasive surgeries. Surgeons can navigate complex anatomical structures with less human error, as technology guides them through the anatomy. This assistance may also help in making decisions. This has been invaluable in cases requiring quick, split-second decisions during emergencies, as the technology adjusts for the complexity of a given case.

AI’s role extends beyond surgery. During postoperative care, AI algorithms monitor patients’ recovery by tracking vital signs and lab results while predicting complications such as infections, bleeding, or organ failure. This allows for early interventions, reducing the risk of complications and improving overall recovery times. Furthermore, AI-based systems are used for continuous training, helping surgeons practice critical scenarios through simulations and virtual training environments, thus ensuring they are prepared for emergencies.

In conclusion, AI has a notable impact on emergency gastrointestinal surgery. AI is poised to transform this field by improving diagnostic accuracy, streamlining surgical procedures, and optimizing postoperative care. It improves diagnostic accuracy, supports personalized surgical planning, offers valuable intraoperative assistance, and paves the way for future progress. As AI technology continues to evolve, its role in GI surgery is expected to expand, offering even greater opportunities for improving patient outcomes and the efficiency of surgical interventions. Ultimately, artificial intelligence is revolutionizing the methodology of surgical procedures and the approach to patient care, fostering the creation of more efficient, effective, and individualized medical interventions.

Keywords: Emergent gastrointestinal surgery; Artificial intelligence; Algorithms; Ethical considerations in AI