Editor-in-Chief: Andrew A. Gumbs
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Artificial Intelligence Surgery

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A scoping review of artificial intelligence in living donor liver transplantation - current status and untapped potential

Open Access Review DOI: 10.20517/ais.2025.120 30 Mar 2026
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Correction: AIONS Consensus Conference on Definitions of Artificial Intelligence Surgery, Surgomics and Robotics (Art Int Surg. 2026;6:98-113. DOI:10.20517/ais.2025.113)

Open Access Correction DOI: 10.20517/ais.2026.12 26 Mar 2026
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A multimodal approach combining tool-pressure and EEG features for laparoscopic skill classification using machine learning

Open Access Original Article DOI: 10.20517/ais.2025.109 26 Mar 2026
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Surgical computer vision for intraoperative decision-support: a scoping review on performance metrics and readiness for real-time deployment

Open Access Review DOI: 10.20517/ais.2025.76 27 Feb 2026
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Applications of speech analysis in diseases’ assessment, prediction and diagnosis: a scoping review

Open Access Review DOI: 10.20517/ais.2025.70 27 Feb 2026
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A review of artificial intelligence in wound care

Open Access Review DOI: 10.20517/ais.2024.68 3 Nov 2024
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Digital twins as a unifying framework for surgical data science: the enabling role of geometric scene understanding

Open Access Review DOI: 10.20517/ais.2024.16 4 Jul 2024
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Advancements in needle visualization enhancement and localization methods in ultrasound: a literature review

Open Access Review DOI: 10.20517/ais.2024.20 30 Jul 2024
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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.
A systematic review of intraoperative deep-learning systems across surgical specialties, focusing on applications, architectures, real-time performance, validation gaps, and clinical impact
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
This Special Issue showcases cutting-edge AI and digital twin applications in orthopedics and invites researchers to contribute to advancing smart orthopedic care.
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.

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Artificial Intelligence Surgery
ISSN 2771-0408 (Online)
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All published articles will be preserved here permanently:

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