AIMC Topic: Rotator Cuff Injuries

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Ruling out rotator cuff tear in shoulder radiograph series using deep learning: redefining the role of conventional radiograph.

European radiology Feb 5, 2020
OBJECTIVE: To develop a deep learning algorithm that can rule out significant rotator cuff tear based on conventional shoulder radiographs in patients suspected of rotator cuff tear.
Humans Retrospective Studies Female Reproducibility of Results Sensitivity and Specificity Male Middle Aged Deep Learning Radiography Radiographic Image Interpretation, Computer-Assisted Rotator Cuff Injuries Rotator Cuff
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Concomitant Procedures, Black Race, Male Sex, and General Anesthesia Show Fair Predictive Value for Prolonged Rotator Cuff Repair Operative Time: Analysis of the National Quality Improvement Program Database Using Machine Learning.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association May 1, 2025
PURPOSE: To develop machine learning models using the American College of Surgeons National Quality Improvement Program (ACS-NSQIP) database to predict prolonged operative time (POT) for rotator cuff repair (RCR), as well as use the trained machine l...
Humans Machine Learning Databases, Factual Retrospective Studies Female Aged Adult Male Middle Aged United States Operative Time Predictive Value of Tests Anesthesia, General Sex Factors Quality Improvement Rotator Cuff Injuries Arthroscopy Black or African American White Rotator Cuff
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Ultrasound for Automated Classification of Full-Thickness Rotator Cuff Tendon Tears using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Rotator cuff tendon tears, the most common shoulder injuries, are typically diagnosed mainly through MRI, but can also be seen on ultrasound (US), a much less costly test that currently requires highly-trained human expert operators. An AI tool to id...
Humans Female Male Middle Aged Deep Learning Ultrasonography Image Processing, Computer-Assisted Rotator Cuff Injuries Automation Rotator Cuff
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