THE PROBLEM
Surgical Video Analytics Is Still Too Manual
OR video is being recorded at scale, but review is episodic and hard to repeat. Finding cases, scrubbing footage, and capturing phases + timing usually takes manual effort clinicians don’t have. SurgeryView.ai standardizes post-procedure video into structured, searchable metrics—so learning and improvement can scale.
THE SOLUTION
Make Surgical Video Measurable
HOW IT WORKS
From upload to insight in 3 steps
Upload a completed case, auto-segment phases (supported procedures), then review dashboards, trends, and benchmarking.
Case Upload & Library
Securely upload completed cases into your SurgeryView.ai library and keep everything organized in one place. Each upload becomes an indexed case you can quickly search, filter, and revisit for review, teaching, M&M, or quality improvement—without juggling scattered files.
Phase & Step Identification
Once uploaded, SurgeryView.ai automatically identifies surgical phases and key steps for supported procedures. This turns raw video into a structured timeline—so you can navigate faster, compare cases more consistently, and build meaningful metrics without manually timestamping or labeling every case.
Performance Analytics
Review dashboards that translate case timelines into actionable metrics—procedure time trends, phase-level variability, and comparisons across cases and peers. Use insights to spot patterns, track improvement over time, support training conversations, and inform research or QI initiatives with clearer, more objective data.
Surgical Video Library With Unlimited Storage
Upload once and centralize your laparoscopic and robotic cases in a secure library. Search, filter, and revisit videos for M&M, teaching, QI, and research—without juggling drives or scattered files.
Extraneous Footage Removal Built for the OR Video Reality
SurgeryView.ai detects when the camera is outside the patient—when patient identifiers are most likely to appear—so teams can blur or remove those frames before sharing.
AI Phase Segmentation for Faster Case Review
SurgeryView.ai segments completed procedures into key phases so you can jump straight to critical steps, compare phase timing across cases, and speed up coaching and QI discussions.
Surgical Video Editing, Built In
Create teaching-ready clips without exporting to consumer tools.
Surgical Video Analytics That Measures Change
Track procedure time trends over weeks/months, explore variability by patient factors, and benchmark responsibly—so improvement becomes visible and repeatable.
Factor Analysis
Explore patient age, gender, BMI and diabetic status as factors for surgery time.
Client Testimonials
Don’t take our word for it – here’s what our clients say:
Dr. Peter J. Lydon, MD
General Surgeon, Boston, MA
“Over the last 15 years, I have been primarily using iMovie for my editing and review of videos. It has been a joy to work with the new digital platform. It is easy and intuitive to use. I really like how extraneous video can be excluded by the platform with little effort on my part. The more advanced editing of clips and speed has been near flawless and easy to perform.”
Dr. Min Sun, MD/Ph.D
University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA
“The digital surgery intelligence platform helped the surgeons for their clinical unmet need tremendously. As the CMO of a cancer hospital, I am so excited to see this platform benefitting our surgeons in managing the laparoscopic and robotic surgical archives. It is a much efficient tool to facilitate communication among peers, collaboration of multidiscipline oncology team members, to teach junior physicians, and help the hospital administrative team.”
Ariel Ortiz MD®, FACS, FASMBS
Obesity Control Center, Tijuana, Mexico
“SurgeryView AI represents a transformational leap in how we analyze, interpret, and ultimately teach surgery. By leveraging advanced artificial intelligence models, the platform can autonomously recognize surgical procedures, deconstruct each operation into discrete steps, and capture the nuanced technical variations between individual surgeons. This not only opens the door to more objective performance benchmarking, but also revolutionizes how we approach surgical education, enabling real-time feedback, skill progression tracking, and the development of more effective, personalized training protocols.”
See Your Next 10 Cases as Data
Turn routine recordings into measurable feedback—fast.