The ACR® Data Science Institute® Musculoskeletal (MSK) Panel has created a series of short videos to help software developers understand areas where AI tools can be applied to imaging data.

The videos clearly explain complex radiology terms and concepts with expert narration and patient images to demonstrate the health care goal of the algorithm and show how AI can potentially automate clinical processes to improve patient care.

Our videos include standard DICOM images and labels and explain how a proposed algorithm might solve an essential problem and why these highly solvable problems offer immediate value to medical imaging. 

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If you would like more information on our use cases and accompanying videos, please contact the ACR Data Science Institute.

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Accessory Muscles Detection Causing Neurovascular Compromise
Automated Calculation of TT-TG Distance
Cervical Rib Detection on CT
Cervical Rib Detection on MRI
Cervical Rib Detection on X-Ray
Distal Radius Buckle Fracture Detection on Pediatric Radiograph
Genu Vargus and Valgus Quantification
Ligamentum Teres Injury Detection
Patellar Tendon-Lateral Femoral Chondyle Friction Syndrome Detection
Snapping Hip Syndrome
Stener Lesion
Automated Install-Salvatti Index
Ishchiofemoral Impingement