Event Dime

Leveraging Artificial Intelligence (AI) based algorithm for Accurate Estrogen receptor (ER) and Progesterone receptor (PR) Analysis in breast cancer diagnostics: potential to be a crucial aid in routine workflow [version 1; peer review: awaiting peer review]

Arts & Culture
When:
May 11, 2026 · 7:39 AM
Source:
F1000Research

Background Scoring of estrogen receptor (ER) and progesterone receptor (PR) expression in breast cancer is critical for identifying patients who would benefit with hormonal therapy. Since manual scoring of immunohistochemistry (IHC) is influenced by pathologist experience, fatigue, inter-observer variability, and subjectivity, artificial intelligence (AI)–based algorithms, trained on large datasets can aid to improve diagnostic accuracy. Methodology This study evaluated an AI-based algorithm for

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