Evolution of the digital operating room: the place of video technology in surgery

S Cheikh Youssef, K Haram, J Noël, V Patel… - … archives of surgery, 2023 - Springer
Purpose The aim of this review was to collate current evidence wherein digitalisation,
through the incorporation of video technology and artificial intelligence (AI), is being applied …

A novel high accuracy model for automatic surgical workflow recognition using artificial intelligence in laparoscopic totally extraperitoneal inguinal hernia repair (TEP)

M Ortenzi, J Rapoport Ferman, A Antolin, O Bar… - Surgical …, 2023 - Springer
Introduction Artificial intelligence and computer vision are revolutionizing the way we
perceive video analysis in minimally invasive surgery. This emerging technology has …

Preserving privacy in surgical video analysis using a deep learning classifier to identify out-of-body scenes in endoscopic videos

JL Lavanchy, A Vardazaryan, P Mascagni, D Mutter… - Scientific reports, 2023 - nature.com
Surgical video analysis facilitates education and research. However, video recordings of
endoscopic surgeries can contain privacy-sensitive information, especially if the endoscopic …

Automated identification of key steps in robotic-assisted radical prostatectomy using artificial intelligence

A Khanna, A Antolin, O Bar, D Ben-Ayoun… - Journal of …, 2024 - journals.lww.com
Purpose: The widespread use of minimally invasive surgery generates vast amounts of
potentially useful data in the form of surgical video. However, raw video footage is often …

Privacy-proof live surgery streaming: development and validation of a low-cost, real-time robotic surgery anonymization algorithm

P De Backer, J Simoens, K Mestdagh, J Hofman… - Annals of …, 2024 - journals.lww.com
Objective: Develop a pioneer surgical anonymization algorithm for reliable and accurate real-
time removal of out-of-body images validated across various robotic platforms. Background …

OSSAR: Towards Open-Set Surgical Activity Recognition in Robot-assisted Surgery

L Bai, G Wang, J Wang, X Yang, H Gao, X Liang… - arxiv preprint arxiv …, 2024 - arxiv.org
In the realm of automated robotic surgery and computer-assisted interventions,
understanding robotic surgical activities stands paramount. Existing algorithms dedicated to …

Defining the standard for surgical video deidentification

MK Tollefson, CJ Ross - JAMA surgery, 2024 - jamanetwork.com
Empirical data and expert consensus have since converged to the conclusion that routine
video capture and analysis are an integral part of the future of surgical care. 2-4 Indeed, the …

Implementation of Artificial Intelligence–Based Computer Vision Model for Sleeve Gastrectomy: Experience in One Tertiary Center

D Dayan - Obesity Surgery, 2024 - Springer
Introduction Sleeve gastrectomy (SG) is the most common metabolic and bariatric procedure
performed. Leveraging artificial intelligence (AI) for automated real-time data structuring and …

“Train one, Classify one, Teach one”-Cross-surgery transfer learning for surgical step recognition

D Neimark, O Bar, M Zohar, GD Hager… - … Imaging with Deep …, 2021 - proceedings.mlr.press
Prior work demonstrated the ability of machine learning to automatically recognize surgical
workflow steps from videos. However, these studies focused on only a single type of …

A multi instance learning approach for critical view of safety detection in laparoscopic cholecystectomy

Y Colbeci, M Zohar, D Neimark… - Machine Learning …, 2022 - proceedings.mlr.press
Surgical procedures have a clear designated goal, which makes the art of performing
surgery a task-oriented action. The performing surgeon follows specific workflow steps that …