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Artificial Intelligence Will Not Replace Health Professionals, but the Proper Use of Artificial Intelligence Will Make Health Professionals Better.
Rodriguez-Antolin, Carlos.
Affiliation
  • Rodriguez-Antolin C; Cancer Epigenetics Laboratory, Institute of Medical and Molecular Genetics (INGEMM), La Paz University Hospital, Madrid, Spain. crodrigueza@salud.madrid.org.
Cancer Res ; 80(10): 1912-1913, 2020 05 15.
Article in En | MEDLINE | ID: mdl-32414836
ABSTRACT
Deep learning has enabled great advances to be made in cancer research with regards to diagnosis, prognosis, and treatment. The study by Wang and colleagues in this issue of Cancer Research develops a deep learning algorithm with the ability to digitally stain histologic images, achieving reliable nuclei segmentation and cell classification. They use this tool to study the tumor morphologic microenvironment in tissue pathology images of patients with lung adenocarcinoma. On the basis of the image features, they develop a prognostic model and find correlations with the transcriptional activities of biological pathways.See related article by Wang et al., p. 2056.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Lung Neoplasms Limits: Humans Language: En Journal: Cancer Res Year: 2020 Type: Article Affiliation country: Spain

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Lung Neoplasms Limits: Humans Language: En Journal: Cancer Res Year: 2020 Type: Article Affiliation country: Spain