[HTML][HTML] Laparoscopic video analysis using temporal, attention, and multi-feature fusion based-approaches

NA Jalal, TA Alshirbaji, PD Docherty, H Arabian… - Sensors, 2023 - mdpi.com
Adapting intelligent context-aware systems (CAS) to future operating rooms (OR) aims to
improve situational awareness and provide surgical decision support systems to medical …

[HTML][HTML] Development of biotissue training models for anastomotic suturing in pancreatic surgery

E Karadza, CM Haney, EF Limen, PC Müller… - HPB, 2023 - Elsevier
Background Anastomotic suturing is the Achilles heel of pancreatic surgery. Especially in
laparoscopic and robotically assisted surgery, the pancreatic anastomosis should first be …

[HTML][HTML] Mapping the Lymphatic Drainage Pattern of Esophageal Cancer with Near-Infrared Fluorescent Imaging during Robotic Assisted Minimally Invasive Ivor …

DT Müller, LM Schiffmann, A Reisewitz, SH Chon… - Cancers, 2023 - mdpi.com
Simple Summary While the sentinel lymph node concept is routinely applied in other
surgical fields, no established and valid modality for lymph node mapping for esophageal …

Development of a cross-artificial intelligence system for identifying intraoperative anatomical landmarks and surgical phases during laparoscopic cholecystectomy

A Fujinaga, Y Endo, T Etoh, M Kawamura… - Surgical …, 2023 - Springer
Background Attention to anatomical landmarks in the appropriate surgical phase is
important to prevent bile duct injury (BDI) during laparoscopic cholecystectomy (LC) …

[HTML][HTML] Surgical Phase Duration in Robot-Assisted Partial Nephrectomy: A Surgical Data Science Exploration for Clinical Relevance

P De Backer, M Peraire Lores, M Demuynck… - Diagnostics, 2023 - mdpi.com
(1) Background: Surgical phases form the basic building blocks for surgical skill assessment,
feedback, and teaching. The phase duration itself and its correlation with clinical parameters …

Use of artificial intelligence for decision-support to avoid high-risk behaviors during laparoscopic cholecystectomy

MU Khalid, S Laplante, C Masino, A Alseidi… - Surgical …, 2023 - Springer
Abstract Introduction Bile duct injuries (BDIs) are a significant source of morbidity among
patients undergoing laparoscopic cholecystectomy (LC). GoNoGoNet is an artificial …

[HTML][HTML] PhacoTrainer: a multicenter study of deep learning for activity recognition in cataract surgical videos

HH Yeh, AM Jain, O Fox… - … vision science & …, 2021 - iovs.arvojournals.org
Purpose: To build and evaluate deep learning models for recognizing cataract surgical steps
from whole-length surgical videos with minimal preprocessing, including identification of …

Preliminary stage in the development of an artificial intelligence algorithm: variations between 100 surgeons in phase annotation in a video of internal fixation of distal …

C Graëff, A Daiss, T Lampert, N Padoy, A Martins… - … & Traumatology: Surgery …, 2023 - Elsevier
Introduction In order to be used naturally and widely, an artificial intelligence algorithm of
phase detection in surgical videos presupposes an expert consensus defining phases …

[HTML][HTML] DisguisOR: holistic face anonymization for the operating room

L Bastian, TD Wang, T Czempiel, B Busam… - International Journal of …, 2023 - Springer
Abstract Purpose Recent advances in Surgical Data Science (SDS) have contributed to an
increase in video recordings from hospital environments. While methods such as surgical …

[HTML][HTML] Active learning for extracting surgomic features in robot-assisted minimally invasive esophagectomy: a prospective annotation study

JM Brandenburg, AC Jenke, A Stern, MTJ Daum… - Surgical …, 2023 - Springer
Abstract Background With Surgomics, we aim for personalized prediction of the patient's
surgical outcome using machine-learning (ML) on multimodal intraoperative data to extract …