Evaluation of tumour infiltrating lymphocytes in luminal breast cancer using artificial intelligence.

Shorouk MakhloufNoorul WahabMichael S TossAsmaa IbrahimAyat Gamal Lashen Nehal M AtallahSuzan GhannamMostafa JahanifarWenqi LuSimon GrahamNigel P MonganMohsin BilalAbhir BhaleraoDavid SneadFayyaz MinhasShan E Ahmed RazaNasir RajpootEmad Rakha

Published in: British journal of cancer (2023)

AI-based detection of TILs counts, and their spatial distribution provides prognostic value in luminal early-stage BC patients. The utilisation of AI algorithms could provide a comprehensive assessment of TILs as a morphological variable in WSIs beyond eyeballing assessment.

Keyphrases

artificial intelligence
machine learning
deep learning
early stage
big data
end stage renal disease
ejection fraction
newly diagnosed
chronic kidney disease
peripheral blood
prognostic factors
squamous cell carcinoma
radiation therapy
young adults
loop mediated isothermal amplification