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RADAR CARE Study: A Multicenter Deep Learning Model for Real-Time Prediction of Recurrence in Early-Stage Non–Small Cell Lung Cancer Using a Multimodal Approach

2026-06-01

Abstract excerpt

<title>Abstract</title> <p>Background Accurate and practical prediction of recurrence in early-stage NSCLC is essential for managing patient outcomes and tailoring personalized treatment strategies. This multi-center study updated and validated a previously developed transformer-based model for NSCLC recurrence prediction, which integrates clinical, pathological, laboratory, and radiologic data, while proposing...

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Literature Corpus work: f341d4f3-677b-5535-8ad3-13609d83f9e7
DOI: 10.21203/rs.3.rs-9529745/v1

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