Integrating Artificial Intelligence Tools in the Clinical Research Setting: The Ovarian Cancer Use C...
Integrating Artificial Intelligence Tools in the Clinical Research Setting: The Ovarian Cancer Use Case
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Author / Creator
Escudero Sanchez, Lorena , Buddenkotte, Thomas , Al Sa'd, Mohammad , McCague, Cathal , Darcy, James , Rundo, Leonardo , Samoshkin, Alex , Graves, Martin J , Hollamby, Victoria , Browne, Paul , Crispin-Ortuzar, Mireia , Woitek, Ramona , Sala, Evis , Schönlieb, Carola-Bibiane , Doran, Simon J and Öktem, Ozan
Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
Artificial intelligence (AI) methods applied to healthcare problems have shown enormous potential to alleviate the burden of health services worldwide and to improve the accuracy and reproducibility of predictions. In particular, developments in computer vision are creating a paradigm shift in the analysis of radiological images, where AI tools are...
Alternative Titles
Full title
Integrating Artificial Intelligence Tools in the Clinical Research Setting: The Ovarian Cancer Use Case
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TN_cdi_doaj_primary_oai_doaj_org_article_23f83dcec95a4760b00c763e618e66f3
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_23f83dcec95a4760b00c763e618e66f3
Other Identifiers
ISSN
2075-4418
E-ISSN
2075-4418
DOI
10.3390/diagnostics13172813
