Implementing machine learning (ML) in healthcare has been gaining rapid popularity. Recent demonstrations of ML in identifying cancerous lesions in radiographs and diabetic retinopathy and autonomous robot suturing of intestinal anastomosis with the equal quality as by surgeons in an animal model have all added to its popularity. The technological advancement in both minimally invasive and robotic surgeries have increased the number of devices used to provide surgical information from surgical procedures like surgical video, instrument use, instrument trajectories, etc.
Using automated systems for organizing the huge data flow during surgery can help in standardization of surgical care by aiding in early error detection and improved patient care. ##Disclaimer## The content provided on Docplexus is intended for educational purposes only. While we strive to ensure its accuracy, we…
