Artificial intelligence grading of breast cancer: a promising method to refine prognostic classification for management precision.

Khloud A ElSharawyThomas A GerdsEmad A Rakha Leslie W Dalton

Published in: Histopathology (2021)

An AI grade trained from the morphologically distinctive feature of nucleolar prominence could transmit significant patient outcome information across three independent patient cohorts. AI grade shows promise in gene discovery and for second opinions.

Keyphrases

artificial intelligence
machine learning
deep learning
big data
case report
small molecule
genome wide
copy number
high throughput
healthcare
gene expression
resistance training
health information
transcription factor
body composition
childhood cancer