Emory Healthcare Researcher Wins Two Awards Using Konica Minolta’s AI Analysis Tool With Dynamic Digital Radiography in Shoulder Pathology
Dr. Hussains research evaluated a prototype artificial intelligence (AI) tool developed by Konica Minolta Healthcare for characterizing shoulder dynamics.
- Dr. Hussains research evaluated a prototype artificial intelligence (AI) tool developed by Konica Minolta Healthcare for characterizing shoulder dynamics.
- Seventy-three shoulders (23 normal controls, 41 rotator cuff tears and nine adhesive capsulitis) were imaged using Dynamic Digital Radiography (DDR) and reviewed by two trained readers.
- With the DDR image data, Dr. Hussain was able to visualize changes in shoulder pathology and, using the proof-of-concept AI tool, acquire measurements to calculate the scapulohumeral rhythm (SHR).
- The new AI tool employs a machine learning algorithm utilizing a convolutional neural network architecture to automate this analysis.