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Human and machine: Better at pathology together?
Lazar, Alexander J; Demicco, Elizabeth G.
Affiliation
  • Lazar AJ; Departments of Pathology, Genomic Medicine, and Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Demicco EG; Department of Pathology and Laboratory Medicine, Mount Sinai Hospital and Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada. Electronic address: elizabeth.demicco@sinaihealth.ca.
Cancer Cell ; 40(8): 806-808, 2022 08 08.
Article in En | MEDLINE | ID: mdl-35944500
ABSTRACT
Meaningful integration of artificial intelligence (AI) will transform the application of "big data" for patient care, diagnosis, and research. In this issue of Cancer Cell, Chen et al. describe a transparent system to integrate histopathology and molecular data to predict outcomes and identify novel biomarkers in cancer.
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Neoplasms Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Cancer Cell Journal subject: NEOPLASIAS Year: 2022 Document type: Article Affiliation country: Estados Unidos
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Neoplasms Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Cancer Cell Journal subject: NEOPLASIAS Year: 2022 Document type: Article Affiliation country: Estados Unidos