INTRODUCTION: Treatment selection in patients with advanced non-small cell lung cancer (NSCLC) is based on programmed death-ligand 1 (PD-L1) expression, which is usually scored manually and is subject to intra-/inter-pathologist variability. A PD-L1 clone-agnostic artificial intelligence (AI) model for AI-based measurement of PD-L1 (AIM-PD-L1) was developed and assessed in advanced NSCLC using clinical samples from two Phase 3 trials. METHODS: IMpower110 evaluated atezolizumab versus chemotherapy in PD-L1-positive metastatic, stage IV, squamous/nonsquamous NSCLC. IMpower150 evaluated atezolizumab, carboplatin and paclitaxel, with/without bevacizumab versus carboplatin, paclitaxel, and bevacizumab in patients with metastatic nonsquamous NSCLC. AIM-PD-L1 was developed and deployed on SP263-stained whole slide images (IMpower110, n=509; IMpower150, n=766) for digital scoring of tumor cell (TC) PD-L1 expression and identification of human interpretable features (HIFs) associated with survival outcomes. RESULTS: Overall percentage agreements between scoring methods for TC
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