Publications by authors named "J Meakin"
Challenges drive the state-of-the-art of automated medical image analysis. The quantity of public training data that they provide can limit the performance of their solutions. Public access to the training methodology for these solutions remains absent.
View Article and Find Full Text PDFIntervertebral disc (IVD) degeneration includes changes in tissue biomechanics, physical attributes, biochemical composition, disc microstructure, and cellularity, which can all affect the normal function of the IVD, and ultimately may lead to pain. The purpose of this research was to develop an in-vitro model of degeneration that includes the evaluation of physical, biomechanical, and structural parameters, and that does so over several load/recovery periods. Hyperphysiological loading was used as the degenerative initiator with three experimental groups employed using bovine coccygeal IVD specimens: Control; Single-Overload; and Double-Overload.
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- This study aimed to independently validate commercial AI products for predicting bone age using hand radiographs and detecting lung nodules on chest radiographs.
- Two AI algorithms for bone age prediction demonstrated a strong correlation with expert readers, while no significant differences in performance were found between AI and human readers.
- Four AI algorithms for lung nodule detection outperformed human readers, indicating potential advantages of using AI in this area, while others did not show a notable difference in performance.