Artificial intelligence algorithm accurately assesses oestrogen receptor immunohistochemistry in metastatic breast cancer cytology specimens: A pilot study.
Brenna C LiScott HammondAnil V ParwaniRulong ShenPublished in: Cytopathology : official journal of the British Society for Clinical Cytology (2024)
The automated ER AI algorithm demonstrated excellent concordance with pathologists' assessments and accurately differentiated ER-positive from ER-negative metastatic breast carcinoma cytology cases. However, precision in identifying tumour cells in cytology specimens requires further enhancement.
Keyphrases
- artificial intelligence
- fine needle aspiration
- machine learning
- deep learning
- ultrasound guided
- metastatic breast cancer
- big data
- endoplasmic reticulum
- estrogen receptor
- high grade
- breast cancer cells
- induced apoptosis
- small cell lung cancer
- squamous cell carcinoma
- cell cycle arrest
- cell death
- oxidative stress
- high throughput
- neural network