Segond Fractures Can Be Identified With Excellent Accuracy Utilizing Deep Learning on Anteroposterior Knee Radiographs

• Main Authors: Jacob F. Oeding, M.S (Author), Ayoosh Pareek, M.D (Author), Kyle N. Kunze, M.D (Author), Benedict U. Nwachukwu, M.D., M.B.A (Author), Harry G. Greditzer, IV, M.D (Author), Christopher L. Camp, M.D (Author), Bryan T. Kelly, M.D (Author), Andrew D. Pearle, M.D (Author), Anil S. Ranawat, M.D (Author), Riley J. Williams, III, M.D (Author)
• Format: Book
• Published: Elsevier, 2024-06-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Purpose: To develop a deep learning model for the detection of Segond fractures on anteroposterior (AP) knee radiographs and to compare model performance to that of trained human experts. Methods: AP knee radiographs were retrieved from the Hospital for Special Surgery ACL Registry, which enrolled p...