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

Journal: Histopathology

Published Date: Aug 1, 2021

Abstract

AIM: Artificial intelligence (AI)-based breast cancer grading may help to overcome perceived limitations of human assessment. Here, the potential value of AI grade was evaluated at the molecular level and in predicting patient outcome.

Authors

Khloud A Elsharawy

Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Biodiscovery Institute, Nottingham, UK.
Thomas A Gerds

Department Biostatistics, University CopenhagenA, Copenhagen, Denmark.
Emad A Rakha

Department of Cellular Pathology, University of Nottingham, Nottingham, UK. Emad.Rakha@Nottingham.Ac.Uk.
Leslie W Dalton

Department of Histopathology, South Austin Hospital, Emeritus, Austin, TX, USA.

Keywords

Artificial Intelligence ATPases Associated with Diverse Cellular Activities Biomarkers, Tumor Breast Neoplasms Cell Cycle Proteins Cohort Studies Databases as Topic Female Humans Image Interpretation, Computer-Assisted Neoplasm Grading Precision Medicine Prognosis Survival Analysis Treatment Outcome

External Resources

View on PubMed Access via DOI PubMed (33590486)

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

Abstract

Authors

Keywords

External Resources

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