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Artificial Intelligence Surgery

Episode 75: Interview of Prof. Ulf Dietrich Kahlert

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

Open Access Systematic Review DOI: 10.20517/ais.2025.92 16 Dec 2025
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Modeling treatment effect heterogeneity in prophylactic lumbar drainage: a Double Machine Learning reanalysis of EARLYDRAIN

Open Access Original Article DOI: 10.20517/ais.2025.75 15 Dec 2025
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Assistive assessment of neurological dysfunction via eye movement patterns and ocular biometrics

Open Access Original Article DOI: 10.20517/ais.2025.62 15 Dec 2025
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Artificial intelligence for post-polypectomy surveillance: a scoping review of emerging tools in colorectal cancer prevention

Open Access Review DOI: 10.20517/ais.2025.65 26 Nov 2025
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Advances in the application of artificial intelligence in continuing education for trauma orthopedics

Open Access Review DOI: 10.20517/ais.2025.34 26 Nov 2025
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Surgomics and the Artificial intelligence, Radiomics, Genomics, Oncopathomics and Surgomics (AiRGOS) Project

Open Access Commentary DOI: 10.20517/ais.2023.24 18 Sep 2023
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White paper: ethics and trustworthiness of artificial intelligence in clinical surgery

Open Access Guideline DOI: 10.20517/ais.2023.04 17 May 2023
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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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Submission Deadline: 31 Dec 2026

Published articles: 0

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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 study proposed a precise deep learning system for quantitative ocular state analysis, providing objective support for the evaluation of neurological dysfunction
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.

Episode 75: Interview of Prof. Ulf Dietrich Kahlert

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Submission Deadline: 31 Dec 2026

Published articles: 0

Coming soon.

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

https://www.portico.org/publishers/oae/