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Generalization of Artificial Intelligence Models in Medical Imaging: A Case-Based Review
As with all new technologies, use of AI should be preceded by a fundamental understanding of the risks and benefits to those it is intended to help.
Automated Segmentation of Vertebrae on Lateral Chest Radiography Using Deep Learning
On the test set, the algorithm demonstrated an average dice coefficient value of 90. 5 and an average intersection-over-union (IoU) of 81. 75.
Application of Deep Learning in Neuroradiology: Automated Detection of Basal Ganglia Hemorrhage using 2D-Convolutional Neural Networks
This study evaluates the efficacy of 2D deep convolutional neural networks (DCNNs) for detecting basal ganglia (BG) hemorrhage on noncontrast head CT. Materials and Methods: 170 unique de-identified HIPAA-compliant noncontrast head CTs were obtained, those with and without BG hemorrhage.
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