Computer vision is superior to surgeons in identifying spinal implants, shows study
By Admin | December 27, 2022
Identifying previously placed spinal hardware can be difficult and time consuming when a patient needs revision surgery. Detailed information on the implant model and type are often lacking when patients are referred elsewhere or may be missing in the surgical notes. To overcome this challenge, researchers developed a computer vision machine learning approach that more accurately and efficiently identifies previously placed thoracolumbar instrumentation.
To build their computer vision classifier, Dr. Alexander E. Ropper and colleagues used 1,072 radiographs showing postoperative views of placed thoracolumbar instrumentation manufactured by five different device companies. Each image was labeled with the device implanted, and a bag-of-visual-words technique utilizing KAZE feature detection was used to...(More)
For more info please read, Computer vision is superior to surgeons in identifying spinal implants, shows study, by Medical Press