Sunday, November 28 | 1:00 p.m.-2:00 p.m. | SSMK03-5 | Room TBA
An artificial intelligence (AI) algorithm can detect limb or pelvic bone fractures that were initially missed on radiographs, according to this study from France.A research team led by Dr. Nor-Eddine Regnard, a musculoskeletal radiologist and chief medical officer at AI software developer Gleamer.ai, retrospectively applied the company's AI BoneView software to all x-rays performed for a suspected limb or pelvic bone fracture over a three-month period at a group of 17 private imaging centers in France. A senior skeletal radiologist then assessed all exams that had discrepant results from the original radiologist interpretation.
After analyzing the 4,774 exams, the AI software detected 235 additional fractures, corresponding to a 26% increase in fracture detection and a 5% error rate in the original radiologist interpretations. The researchers determined that knowledge of the fracture could have led to a change in therapeutic care for 144 (61.3%) of these fractures and a possible surgery for 51 (21.7%) fractures.
"AI-aid has the potential to prevent medical errors like missed fractures on initial x-ray exams, thus impacting patient care," the authors wrote.
Delve further into their results by viewing this presentation on Sunday.
