AI-Assisted Readings May Greatly Improve Fracture Diagnosis

Sooraj Shah ’24 The detection of fractures via radiography is one of the most highly used practices in clinical settings such as the emergency room, urgent care, orthopedic and rheumatology offices. The missed fracture diagnosis rate is between 1-3%, accounting for almost 1,200 of every 100,000 patients. A major cause of missed fractures is erroneous initial readings by residents or non-radiologists, which are only corrected … Continue reading AI-Assisted Readings May Greatly Improve Fracture Diagnosis