Privacy-proof Live Surgery Streaming: Development and Validation of a Low-cost, Real-time Robotic Surgery Anonymization Algorithm.

Pieter De BackerJente SimoensKenzo MestdaghJasper HofmanJennifer A EckhoffMateusz JobczykEllen Van EetveldeMathieu D'HondtMarcio C MoschovasVipul PatelCharles Van PraetHans F FuchsCharlotte DebbautKarel DecaesteckerAlexandre Mottrie

Published in: Annals of surgery (2024)

Our deep learning model, Robotic Anonymization Network, offers reliable, accurate, and safe real-time anonymization during complex and lengthy surgical procedures regardless of the robotic platform. The model can be used in real time for surgical live streaming and is openly available.

Keyphrases

deep learning
low cost
minimally invasive
robot assisted
artificial intelligence
high throughput
healthcare
high resolution
convolutional neural network
mass spectrometry
single cell
percutaneous coronary intervention
network analysis