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Artificial Intelligence Aids Detection of Rotator Cuff Pathology: A Systematic Review
Hongwei Zhan1, Fei Teng1, Zhongcheng Liu1
1Lanzhou University Second Hospital, Orthopaedic Clinical Research Center of Gansu Province, Intelligent Orthopaedic Industry Technology Center of Gansu Province, Lanzhou Gansu, China.
Summary
Artificial intelligence (AI) models show strong performance in detecting rotator cuff pathology across various imaging techniques. These AI tools match radiologists using ultrasound and outperform orthopedic surgeons in MRI accuracy for rotator cuff conditions.
Area of Science:
- Radiology and Medical Imaging
- Artificial Intelligence in Healthcare
- Orthopedic Diagnostics
Background:
- Rotator cuff pathology is a common cause of shoulder pain and disability.
- Accurate and timely diagnosis is crucial for effective patient management.
- The integration of artificial intelligence (AI) in medical imaging is rapidly evolving.
Conclusions:
- AI models demonstrate significant capability in detecting rotator cuff pathology.
- AI performance is on par with musculoskeletal radiologists for ultrasound-based diagnosis.
- AI models using MRI offer enhanced accuracy and specificity over orthopedic surgeons for rotator cuff pathology diagnosis.
