Related Experiment Video
Updated: Jun 5, 2026
12:34
Robot-Assisted Radical Antegrade Modular Pancreatosplenectomy Including Resection and Reconstruction of the Spleno-Mesenteric Junction
Published on: January 3, 2020
17.5K
Artificial Intelligence in Minimally Invasive and Robotic Gastrointestinal Surgery: Major Applications and Recent
Matteo Pescio1,2, Francesco Marzola1, Giovanni Distefano1,2
1Department of Surgical Sciences, Università Degli Studi di Torino, Corso Dogliotti 14, 10126 Turin, Italy.
Journal of Personalized Medicine
|February 26, 2026
Summary
Artificial intelligence (AI) is revolutionizing gastrointestinal (GI) surgery by improving decision-making and patient care. This review explores AI
Area of Science:
- Gastrointestinal (GI) Surgery
- Artificial Intelligence (AI) in Medicine
Background:
- AI is transforming GI surgery, enhancing decision-making, intraoperative performance, and postoperative management.
- AI integration enables more precise, data-informed, and personalized surgical interventions.
Purpose of the Study:
- To provide a state-of-the-art overview of AI applications in GI surgery.
- To organize AI applications into four key domains: simulation, computer vision, data science, and robot autonomy.
Main Methods:
- A comprehensive narrative review of the literature was conducted.
- Relevant studies on technological developments in AI for GI surgery were identified and analyzed.
Main Results:
- AI enhances surgical simulation through virtual planning and digital twins.
- AI-powered computer vision improves intraoperative scene understanding and anatomical segmentation.
- Surgical data science offers predictive analytics and real-time decision support.
- AI integration in surgical robotics advances intelligent assistance and autonomy.
Conclusions:
- AI shows significant potential for precision, reproducibility, and personalization in GI surgery.
- Challenges include data quality, model generalizability, ethical governance, and clinical validation.
- Interdisciplinary collaboration is vital for translating AI into routine surgical practice.
