Enhancing Diagnostic Accuracy in Fracture Identification on Musculoskeletal Radiographs Using Deep Learning

Carebot s.r.o.

Status: Completed

Conditions: Musculoskeletal; Fractures

Treatments: Diagnostic Test: Carebot AI Bones

Study type: Observational

Funder types: Industry

Identifiers

NCT06644391

CB-BONES-01-FM

Details and patient eligibility

About

This retrospective study aims to evaluate the effectiveness of artificial intelligence (AI) in identifying fractures on musculoskeletal X-rays. By comparing the performance of a deep learning AI model with that of experienced radiologists, we seek to understand how AI can help improve fracture detection accuracy in clinical settings. The study analyzed 600 X-rays from both pediatric and adult patients, focusing on identifying fractures across different body parts, including the foot, ankle, knee, hand, wrist, and more. The findings show that integrating AI can increase radiologists' sensitivity in detecting fractures, potentially improving patient outcomes by reducing the number of missed injuries.

Enrollment: 600 patients

Sex: All

Ages: 1+ year old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Patients aged 1 year or older.
• Musculoskeletal X-rays available in Digital Imaging and Communications in Medicine (DICOM) format.
• At least one digital plain radiograph of an appendicular body part, including the foot, ankle, knee, hand, wrist, elbow, shoulder, or pelvis.

Exclusion criteria

• Poor radiographic quality that precludes human interpretation.
• Radiographs of the lumbar, thoracic, and cervical spine, or facial/nasal bones.
• Radiographs that do not meet the inclusion criteria for appendicular body parts.

Trial design

600 participants in 1 patient group

Radiographs Analyzed Using AI and Radiologist Review

Description:

This cohort consists of 600 radiographs collected from pediatric and adult patients, aged 1 to 99 years, who underwent X-ray imaging for musculoskeletal conditions. The radiographs include various body parts such as the foot, ankle, knee, hand, wrist, elbow, shoulder, and pelvis. Fractures were present in 95 cases, while 453 cases showed no fractures.

Treatment:

Diagnostic Test: Carebot AI Bones