Article

Artificial Intelligence Model’s assessment of intra-sample heterogeneity of HER2 IHC in breast cancer is related to interobserver and intraobserver agreement among pathologists

2026-04-09

Abstract excerpt

<title>Abstract</title> <p>Background Accurate assessment of HER2 status in breast cancer has been critical for guiding therapy and has become even more important with the emergence of antibody-drug conjugates, now also indicated in HER2-low tumors. However, inter- and intraobserver variability limits the reproducibility of HER2 IHC scoring among pathologists, particularly at the lower end of the expression spec...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: d856110a-58c6-5a52-a6ff-5771d4762d52
DOI: 10.21203/rs.3.rs-9023658/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Artificial Intelligence Model’s assessment of intra-sample heterogeneity of HER2 IHC in breast cancer is related to interobserver and intraobserver agreement among pathologistsDOI 10.21203/rs.3.rs-9023658/v1Read

Impact of a machine learning-powered algorithm on pathologist HER2 IHC scoring in breast cancerSemantic proximity Read

Improving breast cancer diagnostics with artificial intelligence for MRISemantic proximity Read

Differing Benefits of Artificial Intelligence-based Computer-aided Diagnosis (AI-CAD) for Breast US According to Workflow and Experience LevelSemantic proximity Read

Enhancing Lymph Node Metastases Assessment in Breast Cancer Post-Neoadjuvant Therapy Using artificial intelligence-Driven DiagnosticsSemantic proximity Read

Multi-institutional Assessment of Pathologist scoring HER2 ImmunohistochemistrySemantic proximity Read

A Targeted Review of Breast Cancer Studies of Concordance for an Internationally-Implemented Artificially Intelligent Clinical Decision-Support SystemSemantic proximity Read

Generalizing AI-driven Assessment of Immunohistochemistry across Immunostains and Cancer Types: A Universal Immunohistochemistry AnalyzerSemantic proximity Read

Artificial Intelligence System Reduces False-Positive Findings in the Interpretation of Breast Ultrasound ExamsSemantic proximity Read

Evaluation of an AI-Based Digital Pathology Tool for Breast Cancer Recurrence RiskSemantic proximity Read

Deep learning to automatically evaluate HER2 gene amplification status from fluorescence in situ hybridization imagesSemantic proximity Read

Artificial Intelligence in Breast Screening - Local Validation EssentialSemantic proximity Read

Artificial Intelligence in the Histopathological Diagnosis of Neoplasms: An Integrative Review of Diagnostic Accuracy and Clinical Efficacy (2019–2026)Semantic proximity Read