Development of Convolutional Neural Networks for Classification and Characterisation of Proximal Humerus Fractures on Computed Tomography.
Machine learning may standardize treatment decisions for shoulder fractures, reducing surgeon disagreement and improving consistency.
Agreement between surgeons on classification, characterization and choice of treatment for proximal humerus fractures (PHFs) is poor, leading to subjective surgical decision-making and poor inter-surgeon reliability. Basic Science Study, Computer Modeling using Machine Learning.
What the study was
- Study design
- Consensus guideline
- Population
- Cancer/disease patients
- Category
- Diagnostics
- Maturity
- Validated
- Journal
- Journal of shoulder and elbow surgery
Why it surfaced
Matched topic(s): AI/ML in clinical diagnostics and imaging. Study design: Consensus guideline. Score 6/10.
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