Oncology Informatics: Status Quo and Outlook.
Artificial intelligence
Cancer
Electronic health record
Electronic patient-reported outcome measures
Informatics
Machine learning
Oncology
Radiation oncology
Journal
Oncology
ISSN: 1423-0232
Titre abrégé: Oncology
Pays: Switzerland
ID NLM: 0135054
Informations de publication
Date de publication:
2020
2020
Historique:
received:
27
03
2020
accepted:
27
03
2020
pubmed:
15
5
2020
medline:
27
6
2020
entrez:
15
5
2020
Statut:
ppublish
Résumé
Oncology has undergone rapid progress, with emerging developments in areas including cancer stem cells, molecularly targeted therapies, genomic analyses, and individually tailored immunotherapy. These advances have expanded the tools available in the fight against cancer. Some of these have seen broad media coverage resulting in justified public attention. However, these achievements have only been possible due to rapid developments in the expanding field of biomedical informatics and information technology (IT). Artificial intelligence, radiomics, electronic health records, and electronic patient-reported outcome measures (ePROMS) are only a few of the developments enabling further progress in oncology. The promising impact of IT in oncology will only become reality through a multidisciplinary approach to the complex challenges ahead.
Identifiants
pubmed: 32408309
pii: 000507586
doi: 10.1159/000507586
pmc: PMC8882056
mid: NIHMS1781417
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
329-331Subventions
Organisme : NCI NIH HHS
ID : R01 CA233487
Pays : United States
Informations de copyright
© 2020 S. Karger AG, Basel.
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