Artificial Intelligence Clinical Evidence Engine for Automatic Identification, Prioritization, and Extraction of Relevant Clinical Oncology Research

We developed a system to automate analysis of the clinical oncology scientific literature from bibliographic databases and match articles to specific patient cohorts to answer specific questions regarding the efficacy of a treatment. The approach attempts to replicate a clinician’s mental processes...

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Detalles Bibliográficos
Autores principales: Saiz, Fernando Suarez, Sanders, Corey, Stevens, Rick, Nielsen, Robert, Britt, Michael, Yuravlivker, Leemor, Preininger, Anita M., Jackson, Gretchen P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Clinical Oncology 2021
Materias:
ORIGINAL REPORTS
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140792/
https://www.ncbi.nlm.nih.gov/pubmed/33439724
http://dx.doi.org/10.1200/CCI.20.00087

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140792/
https://www.ncbi.nlm.nih.gov/pubmed/33439724
http://dx.doi.org/10.1200/CCI.20.00087

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