Machine Learning-Based models in prediction of Ki-67 in pituitary adenoma: A systematic review and Meta-Analysis
Quick Take
Machine Learning (ML) models demonstrate a consistent signal for predicting Ki-67 proliferation in pituitary adenomas, serving as a powerful predictive adjunct for risk stratification.
đź’ˇ Clinical Impact
* Mechanistic Why: ML algorithms (specifically deep learning and radiomics) ingest high-dimensional imaging data to discern subtle, non-linear patterns—such as micro-textural variations