Intraoperative Video Analysis
Intraoperative Video Analysis - Related Videos
07:48
Intraoperative Video Consultation Following Bile Duct Transection Facilitates Direct OR Transfer for Robotic Hepaticojejunostomy at Tertiary Center
0 Views •
2026
Intraoperative video consultation expedites and improves surgical care. Here, we present a case where intraoperative video consultation between a rural hospital and an academic hepatobiliary surgeon facilitated immediate diagnosis of bile duct transection during laparoscopic cholecystectomy, direct to operating room transfer between centers, and injury repair with robotic-assisted Roux-en-Y hepaticojejunostomy.
10:31
Intraoperative Gastroscopy for Tumor Localization in Laparoscopic Surgery for Gastric Adenocarcinoma
0 Views •
Cited by 12 •
2016
In early gastric cancer, the aim of surgery is to precisely remove the distal stomach including the primary tumor. To do this, accurate localization of the tumor is crucial, especially in totally laparoscopic surgery. This protocol describes a procedure for intraoperative gastroscopy in totally laparoscopic subtotal gastrectomy.
05:39
Non-Intubated Video-Assisted Thoracoscopic Surgery
0 Views •
Cited by 4 •
2023
Here, we present a non-intubated protocol for performing video-assisted thoracoscopic surgery with preserved autonomic breathing.
04:45
Intraoperative Assessment of Resection Margins in Oral Cavity Cancer: This is the Way
0 Views •
Cited by 16 •
2021
The goal of this protocol is to provide a clear overview of specimen-driven intraoperative assessment of resection margins. It is encouraged to implement this protocol to improve patient care at other institutes.
05:32
High-speed Video Microscopy Analysis for First-line Diagnosis of Primary Ciliary Dyskinesia
0 Views •
Cited by 2 •
2022
High-speed video microscopy analysis is a relatively easy-to-perform, fast, cost-effective, and, in experienced hands, a considerably reliable tool for first-line diagnostics of primary ciliary dyskinesia, which should be available in every center involved in diagnostics and the treatment of severe lung diseases.
FAQs
Time-based annotation links observed events to their position in the operation, allowing analysts to examine when procedural actions, workflow transitions, or clinically relevant events occur. Image processing can then convert portions of the recording into analyzable visual features. This temporal structure matters because it supports comparisons of sequence, duration, and performance rather than relying only on general impressions.
Computer-vision and machine-learning models extend analysis beyond manual review by identifying recurring visual elements, including instruments, anatomical views, surgical phases, and changes in the operative field. These outputs do not merely add labels; they transform complex footage into structured information that engineers can use to characterize workflow and assess how visual events relate to technique or operating-room system behavior.
The value of the analysis comes from combining several representations of the same recording. Procedural actions describe what is being done, workflow describes how activities unfold, and clinically relevant events mark important changes. Together with image-derived features and performance indicators, these representations support objective assessment of safety and efficiency while preserving the visual context needed to study human-machine interaction.
A practical analysis pipeline begins with video capture, followed by time-based annotation of actions and events. Image processing can extract visual features, after which computer-vision or machine-learning models may identify instruments, anatomical views, phases, or operative-field changes. The resulting annotations and features can be examined as performance indicators, giving engineering teams a structured basis for evaluating technique and workflow.
Intraoperative Video Analysis can support surgical education by making aspects of technique and procedural performance available for objective examination. It also helps evaluate workflow optimization, because recorded actions and phases can be related to how the operation unfolds. For engineering teams, these uses connect visual evidence with the design of technologies intended to improve assessment, efficiency, and operating-room support.
Within engineering, the method is relevant to intelligent operating-room systems because it supplies measurable visual information about surgical activity. Analysis of instruments, anatomical views, phases, and field changes can inform system development and human-machine interaction studies. The broader outcome is a design-oriented view of surgery, in which complex observations become performance indicators for assessing safety, efficiency, and technology behavior.