The aim of this study is to use the vast dataset of annotated ultrasound images of normal uterus and of adenomyosis of varying severity to train a neural network using deep learning framework (Pytorch) and automated machine learning tool (Vertex AI). The main question it aims to answer are: 1. Diagnostic performance of automated (Google Vertex AI (Artificial intelligence) vision) and deep learning (Pytorch) machine learning model 2. Time saved in assessment of adenomyosis per healthcare professional
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Precision
Timeframe: through study completion, an average of 1 year
Recall
Timeframe: through study completion, an average of 1 year
Average precision
Timeframe: through study completion, an average of 1 year
Number of images correctly identified as per their original classification
Timeframe: through study completion, an average of 1 year