Predicting EGFR mutation, ALK rearrangement, and uncommon EGFR mutation in NSCLC patients by driverless artificial intelligence: a cohort study

BACKGROUND: Timely identification of epidermal growth factor receptor (EGFR) mutation and anaplastic lymphoma kinase (ALK) rearrangement status in patients with non-small cell lung cancer (NSCLC) is essential for tyrosine kinase inhibitors (TKIs) administration. We aimed to use artificial intelligen...

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Detalles Bibliográficos
Autores principales: Tan, Xueyun, Li, Yuan, Wang, Sufei, Xia, Hui, Meng, Rui, Xu, Juanjuan, Duan, Yanran, Li, Yan, Yang, Guanghai, Ma, Yanling, Jin, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9145462/
https://www.ncbi.nlm.nih.gov/pubmed/35624472
http://dx.doi.org/10.1186/s12931-022-02053-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9145462/
https://www.ncbi.nlm.nih.gov/pubmed/35624472
http://dx.doi.org/10.1186/s12931-022-02053-2

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