Diagnostic accuracy of an AI-based pathologic response assessment in locally advanced non-small cell lung cancer after neoadjuvant chemo-immunotherapy

Abstract Background Neoadjuvant chemo-immunotherapy has shown promise in improving survival outcomes for non-small cell lung cancer (NSCLC) patients, with pathologic response serving as a critical predictor of long-term outcomes. However, manual assessment of pathologic response is labor-intensive a...

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Principais autores:	Ki-Chang Lee, Haenara Shin, Jungyoon Ohn, Ji Hyeon Park, Samina Park, In Kyu Park, Chang Hyun Kang, Young Tae Kim, Hongyoon Choi, Jaemoon Koh, Kwon Joong Na
Formato:	Artigo
Idioma:	Inglês
Publicado:	BMC 2026-03-01
Series:	BMC Cancer
Assuntos:	Non-small cell lung cancer Neoadjuvant chemo-immunotherapy Artificial intelligence Digital pathology Pathologic response Major pathologic response
Acceso en liña:	https://doi.org/10.1186/s12885-026-15885-8
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