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Analysis of Surgery Video
Surgery is about precision and efficiency. Artificial intelligence(AI) can be effectively trained to deliver a
reliable and efficient segmentation and labeling of operative video into its constituent steps. Computer
vision, a form of AI, allows for quantitative analysis of video by computers for identification of objects
and patterns, such as in autonomous driving. Automated segmentation of videos can allow important
operative steps to be efficiently indexed for training or expert consultations for feedback and coaching.
Identification of deviations from an expected operative course lays the foundation for automated
detection of intraoperative adverse events. AI can enable real-time, evidence-based clinical decision
support in an operative setting. MedAI leverages the AI-powered technology to make education and
operation for surgeons more accessible, reliable, and effective than ever.
Successful uses of AI in other fields of medicine, such as diagnostic ophthalmology, dermatology,
precision medicine, and pathology, have also been reported on.
Videos Data Collecting
Collected videos of high-
quality, with some videos used
as training data and the others
as novel test data.
Feature engineering refers to
the process by which experts
annotate data to help achieve
An important technology for
video structuring and retrieval.
Develop, evaluate, and build
out a modern deep learning
based AI solution and get the
models into a practical
Machine learning algorithms
(eg support vector machine
classifiers, hidden Markov
models, neural networks).
Coresets were utilized to
analyze video in real-time.
Give an optimal operation plan, and judge the disease degree
before operation based on important preoperative data points. A
machine learning al