AI can provide guidance to surgeons during the operation. It can recognize components of critical view with the progression of surgery, highlight areas where it’s safe to dissect (CVS: critical view of safety), or issue warnings/notifications that are relevant to the specific step . It can also highlight areas where surgical actions were performed well.
Machine Learning can automate the indexing and bookmarking of operative steps (smart screenshots based on event detection), this can automate the creation of surgical reports.
Understand the Use-case under 5 minutes
Video (1.5 minutes)
The Caresyntax digital surgery platform enables surgical stakeholders to assemble, analyze, and advance surgical care delivery. Caresyntax achieves this using automation, analytics, and AI to transform data into actionable insights.
Watch
Video (2.5 minutes)
When 365mc hospital group in Korea hooked up its surgery instruments with motion sensors that connected to AI, the company not only transformed its surgeons’ practice but its business model too
Watch
Article (4 minutes)
AI can determine patterns within surgical procedures to improve best practices and to improve a surgical robots’ control accuracy to submillimeter precision
Read
Get to know more Business and Technical details about the use-case (15-30 minutes)
More detailed introduction covering business and technical aspects
Video (11:30 minutes)
Good introduction to Surgical AI and it’s different components. You will learn how it supports the decision to deliver optimal information at optimal time with optimal tools
Watch
Video (1.5 hours)
A series of presentations highlighting differing examples of using AI for Surgical Assistance. Provides a rich set of use-cases leveraging a diverse set of AI techniques (computer vision, NLP, predictive analytics..). (watch starting 36:00 to skip intro)
Watch
Article (22 minutes)
Exploring the use of AI in Surgery, specifically for supporting: Diagnosis, Surgical decisions, Pre-operative planning, and Intra-operative aids
ReadCase studies, Organizational Aspects, Return on Investment examples
Article + Case Study (8 minutes)
Early trials have demonstrated that AI-assisted surgery can help reduce variations in procedures and improve patient outcomes. Referencing a case study: Maastricht University Medical Center in the Netherlands used an AI-assisted surgery robot to suture small blood vessels
ReadMore details on the technical aspects of the use-case
Video (28 minutes)
Explore the technical implementations of different Surgical AI use-cases: SleevNet (indexing & bookmarking of operative steps), Prediction of Operation Length, and Recommendations for Areas of Dissection
Watch
Video (49 minutes)
Examples for tech supporting Surgical AI: Quantification of Tissue Oxygenation, Synthetic Training Data Generation, Surgical Phase Detection, Anticipation of Instruments, Surgical Training leveraging AI and VR, and more
Watch
Technical resources that will help you implement the use-case (notebooks, tutorials..)
Github Repo
Large collection of research papers covering a wide variety of Surgical AI topics, examples: Surgical Skill Assessment, Surgical Phase Recognition, Surgical Gesture Recognition, Surgical Instrument Recognition / Localization, Surgical Scene / Anatomy Recognition, and more
VisitGitHub Repo
The network learns tool detection, localization and tracking from image-level labels. The approach is composed of CNN + Convolutional LSTM (ConvLSTM) neural networks trained end-to-end, but weakly supervised on tool binary presence labels only.
VisitGithub Repo
This notebook includes a demo for surgical phase recognition on videos of laparoscopic cholecystectomy using a CNN-biLSTM-CRF model
Visit
Video (10 minutes)
Integrating a deep neural networks, capable of efficient feature extraction, into the tissue reconstruction and instrument pose estimation processes
Watch
Colab Notebook
In this notebook we will develop and train a simple neural network for surgical tool detection in laparoscopic images
Visit
Paper (19 minutes)
The aim of this paper is to develop and assess AI algorithms to identify operative steps in laparoscopic sleeve gastrectomy (LSG)
Visit
Article (17 minutes)
This study applied the concept of reinforcement learning to surgical procedures and identified common points between reinforcement learning and the way surgeons approach an operation
Visit
Data Sets you can use to build Demos, POCs, or test Algorithms
Synthetic datasets generated by the PaySim mobile money simulator
The dataset contains transactions made by credit cards in September 2013 by European cardholders.
This dataset presents transactions that occurred in two days, where we have 492 frauds out of 284,807 transactions
The data comes from Vesta’s real-world e-commerce transactions and contains a wide range of features from device type to product features (with “isFraud” as an attribute, for fraudlent transactions)
Off-the-Shelf Products using AI for Supporting Surgical Operations
Got a Question or a Resource to share with the Community? Please do!
Copyright © 2024 AI Cases. All rights reserved
Session expired
Please log in again. The login page will open in a new tab. After logging in you can close it and return to this page.
