Next Article in Journal
Gastric-Type Cervical Adenocarcinoma: Clinicopathologic Features, Molecular Landscape, and Therapeutic Challenges
Previous Article in Journal
Primary Clitoral Melanoma: Personalized Therapeutic Strategies Informed by Clinical Evidence and Systematic Review
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
JPM
Volume 16
Issue 2
10.3390/jpm16020071
jpm-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Artificial Intelligence in Minimally Invasive and Robotic Gastrointestinal Surgery: Major Applications and Recent Advances

by
Matteo Pescio
1,2,
Francesco Marzola
1,
Giovanni Distefano
1,2,
Pietro Leoncini
1,2,
Carlo Alberto Ammirati
1,
Federica Barontini
1,
Giulio Dagnino
1,3 and
Alberto Arezzo
1,*
1
Department of Surgical Sciences, Università Degli Studi di Torino, Corso Dogliotti 14, 10126 Turin, Italy
2
Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy
3
Robotics and Mechatronics, University of Twente, Drienerlolaan 5, 7522 Enschede, The Netherlands
*
Author to whom correspondence should be addressed.
J. Pers. Med. 2026, 16(2), 71; https://doi.org/10.3390/jpm16020071
Submission received: 3 December 2025 / Revised: 9 January 2026 / Accepted: 19 January 2026 / Published: 31 January 2026
(This article belongs to the Special Issue New Technologies and Personalized Medicine in Gastrointestinal Surgery)
Browse Figures
Versions Notes

Abstract

Artificial intelligence (AI) is rapidly reshaping gastrointestinal (GI) surgery by enhancing decision-making, intraoperative performance, and postoperative management. The integration of AI-driven systems is enabling more precise, data-informed, and personalized surgical interventions. This review provides a state-of-the-art overview of AI applications in GI surgery, organized into four key domains: surgical simulation, surgical computer vision, surgical data science, and surgical robot autonomy. A comprehensive narrative review of the literature was conducted, identifying relevant studies of technological developments in this field. In the domain of surgical simulation, AI enables virtual surgical planning and patient-specific digital twins for training and preoperative strategy. Surgical computer vision leverages AI to improve intraoperative scene understanding, anatomical segmentation, and workflow recognition. Surgical data science translates multimodal surgical data into predictive analytics and real-time decision support, enhancing safety and efficiency. Finally, surgical robot autonomy explores the progressive integration of AI for intelligent assistance and autonomous functions to augment human performance in minimally invasive and robotic procedures. Surgical AI has demonstrated significant potential across different domains, fostering precision, reproducibility, and personalization in GI surgery. Nevertheless, challenges remain in data quality, model generalizability, ethical governance, and clinical validation. Continued interdisciplinary collaboration will be crucial to translating AI from promising prototypes to routine, safe, and equitable surgical practice.
Keywords: surgical AI; robotic surgery; surgical innovation; surgical simulation; computer vision in surgery; surgical data science; surgical robot autonomy surgical AI; robotic surgery; surgical innovation; surgical simulation; computer vision in surgery; surgical data science; surgical robot autonomy

Share and Cite

MDPI and ACS Style

Pescio, M.; Marzola, F.; Distefano, G.; Leoncini, P.; Ammirati, C.A.; Barontini, F.; Dagnino, G.; Arezzo, A. Artificial Intelligence in Minimally Invasive and Robotic Gastrointestinal Surgery: Major Applications and Recent Advances. J. Pers. Med. 2026, 16, 71. https://doi.org/10.3390/jpm16020071

AMA Style

Pescio M, Marzola F, Distefano G, Leoncini P, Ammirati CA, Barontini F, Dagnino G, Arezzo A. Artificial Intelligence in Minimally Invasive and Robotic Gastrointestinal Surgery: Major Applications and Recent Advances. Journal of Personalized Medicine. 2026; 16(2):71. https://doi.org/10.3390/jpm16020071

Chicago/Turabian Style

Pescio, Matteo, Francesco Marzola, Giovanni Distefano, Pietro Leoncini, Carlo Alberto Ammirati, Federica Barontini, Giulio Dagnino, and Alberto Arezzo. 2026. "Artificial Intelligence in Minimally Invasive and Robotic Gastrointestinal Surgery: Major Applications and Recent Advances" Journal of Personalized Medicine 16, no. 2: 71. https://doi.org/10.3390/jpm16020071

APA Style

Pescio, M., Marzola, F., Distefano, G., Leoncini, P., Ammirati, C. A., Barontini, F., Dagnino, G., & Arezzo, A. (2026). Artificial Intelligence in Minimally Invasive and Robotic Gastrointestinal Surgery: Major Applications and Recent Advances. Journal of Personalized Medicine, 16(2), 71. https://doi.org/10.3390/jpm16020071

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop