Novel Clinical-Grade Prostate Cancer Detection and Grading Model: Development and Prospective Valida...
Novel Clinical-Grade Prostate Cancer Detection and Grading Model: Development and Prospective Validation Using Real World Data, with Performance Assessment on IHC Requested Cases
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Author / Creator
Nateghi, Ramin , Zhou, Ruoji , Saft, Madeline , Schnauss, Marina , Neill, Clayton , Alam, Ridwan , Handa, Nicole , Huang, Mitchell , Li, Eric V , Goldstein, Jeffery A , Schaeffer, Edward M , Menatalla Nadim , Pourakpour, Fattaneh , Isaila, Bogdan , Felicelli, Christopher , Mehta, Vikas , Nezami, Behtash G , Ross, Ashley , Yang, Ximing and Lee AD Cooper
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
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Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
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Scope and Contents
Contents
Artificial intelligence may assist healthcare systems in meeting increasing demand for pathology services while maintaining diagnostic quality and reducing turnaround time and costs. We aimed to investigate the performance of an institutionally developed system for prostate cancer detection, grading, and workflow optimization and to contrast this w...
Alternative Titles
Full title
Novel Clinical-Grade Prostate Cancer Detection and Grading Model: Development and Prospective Validation Using Real World Data, with Performance Assessment on IHC Requested Cases
Authors, Artists and Contributors
Author / Creator
Zhou, Ruoji
Saft, Madeline
Schnauss, Marina
Neill, Clayton
Alam, Ridwan
Handa, Nicole
Huang, Mitchell
Li, Eric V
Goldstein, Jeffery A
Schaeffer, Edward M
Menatalla Nadim
Pourakpour, Fattaneh
Isaila, Bogdan
Felicelli, Christopher
Mehta, Vikas
Nezami, Behtash G
Ross, Ashley
Yang, Ximing
Lee AD Cooper
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_3123157023
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3123157023
Other Identifiers
E-ISSN
2331-8422
