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AI and machine learning-based diagnostic advantages and pitfalls: Musculoskeletal fracture detection
Artificial intelligence (AI) is increasingly integrated into healthcare, especially within diagnostic radiology. AI algorithms, particularly those utilizing machine learning and computer vision, are widely used for evaluating MRI, CT, and radiographic images. These models, trained on extensive patient databases, are now fully commercialized. Ongoing research compares AI’s efficacy to human radiologists in diagnosing various pathologies, such as scoliosis, hip dysplasia, and joint alignment. One of the most valuable applications of the AI algorithm is the detection of acute fractures on imaging, which is being widely implemented in clinical practice. It’s essential to ensure the safe, accurate, and ethical implementation of AI, particularly for fracture detection.
Article: Musculoskeletal fracture detection: artificial intelligence and machine learning-based diagnostic advantages and pitfalls
Authors: Truman Archer, Sawyer Archer & Samir S. Shah
WRITTEN BY
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