Applying artificial intelligence using routine clinical data for preoperative diagnosis and prognosis evaluation of gastric cancer

The present study employed artificial intelligence (AI) machine learning technology to evaluate the prognosis of gastric cancer using blood collection data, commonly used in clinical practice and subsequently performed a stratification distinct from conventional tumor-node-metastasis (TNM) classific...

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Detalles Bibliográficos
Autores principales: Kuwayama, Naoki, Hoshino, Isamu, Mori, Yasukuni, Yokota, Hajime, Iwatate, Yosuke, Uno, Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2023
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579989/
https://www.ncbi.nlm.nih.gov/pubmed/37854867
http://dx.doi.org/10.3892/ol.2023.14087

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579989/
https://www.ncbi.nlm.nih.gov/pubmed/37854867
http://dx.doi.org/10.3892/ol.2023.14087

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