Artificial Intelligence Surgery

Artificial intelligence and EEG during anesthesia: ideal match or fleeting bond?

This narrative review aims to provide an updated description of the applications of AI- and ML-based technologies applied to EEG in the field of anesthesiology.

Deep Learning for Real-Time Image-Guided Surgery: Clinical Performance, Latency, and Validation

A systematic review of intraoperative deep-learning systems across surgical specialties, focusing on applications, architectures, real-time performance, validation gaps, and clinical impact

Modeling treatment effect heterogeneity in prophylactic lumbar drainage: a Double ML reanalysis of EARLYDRAIN

This study aimed to reanalyze trial data using Double Machine Learning (DML) to estimate individualized treatment effects and identify patients or patient subgroups most likely to benefit

New Special Issue on Artificial Intelligence and Digital Twins in Orthopedic Diseases and Bone Regeneration

This Special Issue showcases cutting-edge AI and digital twin applications in orthopedics and invites researchers to contribute to advancing smart orthopedic care.

New Special Issue on Machine Learning and AI in Plastic, Reconstructive, and Cosmetic Surgery

This Special Issue highlights the transformative role of AI and machine learning in plastic, reconstructive, and cosmetic surgery, inviting submissions that advances innovative, precise, and patient-centered care.

A review of artificial intelligence in wound care

Digital twins as a unifying framework for surgical data science: the enabling role of geometric scene understanding

Advancements in needle visualization enhancement and localization methods in ultrasound: a literature review

Academic Talks

Episode 75: Interview of Prof. Ulf Dietrich Kahlert

NaN

Articles

Most Recent | Most Viewed | Most Downloaded

Artificial intelligence-based tools for optimizing surgical research publications

Brandon Valencia-Coronel

, ...Mariano Gimenez

Open Access Review DOI: 10.20517/ais.2025.112 15 Jan 2026

Views: Downloads:

Download PDF

EnrichGT: a comprehensive R-based tool for functional genomics enrichment analysis based on large language models

Runchen Wang, ...Xusen Zou

Open Access Original Article DOI: 10.20517/ais.2025.67 5 Jan 2026

Views: Downloads:

Download PDF

Artificial intelligence and EEG during anesthesia: ideal match or fleeting bond?

Michele Introna

, ...Carla Carozzi

Open Access Review DOI: 10.20517/ais.2025.68 4 Jan 2026

Views: Downloads:

Download PDF

Deep learning in real-time image-guided surgery: a systematic review of applications, methodologies, and clinical relevance

Omar Kasimieh

, ...Don Eliseo Lucero-Prisno III

Open Access Systematic Review DOI: 10.20517/ais.2025.92 15 Dec 2025

Views: Downloads:

Download PDF

Modeling treatment effect heterogeneity in prophylactic lumbar drainage: a Double Machine Learning reanalysis of EARLYDRAIN

Shrinit Babel

, ...Gandham E. Jonathan

Open Access Original Article DOI: 10.20517/ais.2025.75 14 Dec 2025

Views: Downloads:

Download PDF

Most Cited Papers In Last Two Years

A review of artificial intelligence in wound care

Ovya Ganesan, ... Dennis Orgill

Open Access Review DOI: 10.20517/ais.2024.68 3 Nov 2024

Views: Downloads:

Download PDF

Digital twins as a unifying framework for surgical data science: the enabling role of geometric scene understanding

Hao Ding

, ... Mathias Unberath

Open Access Review DOI: 10.20517/ais.2024.16 4 Jul 2024

Views: Downloads:

Download PDF

AI in plastic surgery: customizing care for each patient

Camille Brenac

, ... Jason L. Guo

Open Access Review DOI: 10.20517/ais.2024.49 14 Oct 2024

Views: Downloads:

Download PDF

Webinars

Ongoing Special Topics

Machine Learning Models to Predict Clinical Outcomes: Promises and Perils

Prof. Simone Famularo; Prof. Matteo Donadon

Submission Deadline: 31 Dec 2026

Published articles: 0

Robotic Surgery and Artificial Intelligence in Urology

Prof. Matteo Ferro; Prof. Martina Maggi; Prof. Giuseppe Fallara; Prof. Francesco Chierigo; Prof. Sabin Tataru

Submission Deadline: 31 Oct 2026

Published articles: 0

Editorial Board

Coming soon.

Partners

Data

774

Authors

1375

Reviewers

135

Articles

On Board Editors

2021

Published Since

For Authors

For Reviewers

Peer Review Guidelines

For Readers

Add your e-mail address to receive forthcoming Issues of this journal:

Themed Collections

Artificial intelligence

Computer vision

Colorectal surgery

Deep learning

Hepatocellular carcinoma

Laparoscopic cholecystectomy

Machine learning

Natural language processing

Topic: Role of AI in Plastic and Reconstructive Surgery—2nd Edition

Topic: Elevating Spine Surgery with AI: Current Landscape and Future Frontiers

Topic: Role of AI in Plastic and Reconstructive Surgery

Latest Issue

All Issues

Volume 6, Issue 1 (in progress)

European Federation of the International Society of Digestive Surgery (EFISDS)

International Obesity Society (IOS)

The Robotic Global Surgical Society (TROGSS)

The International Society for Digestive Surgery (ISDS)

IRCAD China

American Hospital Tbilisi

University of Magdeburg Department of Surgery

WIS- Italia (Women-in-Surgery)

News

21 Board Members of Artificial Intelligence Surgery Recognized in the World's Top 2% Scientists 2025 List

AIS Webinar Successfully Held: AI and Metaverse in Global Health and Surgery

Artificial intelligence and EEG during anesthesia: ideal match or fleeting bond?

This narrative review aims to provide an updated description of the applications of AI- and ML-based technologies applied to EEG in the field of anesthesiology.

Deep Learning for Real-Time Image-Guided Surgery: Clinical Performance, Latency, and Validation

A systematic review of intraoperative deep-learning systems across surgical specialties, focusing on applications, architectures, real-time performance, validation gaps, and clinical impact

Modeling treatment effect heterogeneity in prophylactic lumbar drainage: a Double ML reanalysis of EARLYDRAIN

This study aimed to reanalyze trial data using Double Machine Learning (DML) to estimate individualized treatment effects and identify patients or patient subgroups most likely to benefit

New Special Issue on Artificial Intelligence and Digital Twins in Orthopedic Diseases and Bone Regeneration

This Special Issue showcases cutting-edge AI and digital twin applications in orthopedics and invites researchers to contribute to advancing smart orthopedic care.

New Special Issue on Machine Learning and AI in Plastic, Reconstructive, and Cosmetic Surgery