A Multicenter Study to Evaluate Diagnostic Accuracy by Pathologists Using the Aperio GT 450 DX in Local and Remote Viewing Stations

The diagnoses made using the Aperio GT 450 DX, using both local and remote access image data, were noninferior to the diagnoses made using conventional light microscopy.

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Publication Details

Journal
Archives of Pathology & Laboratory Medicine
Published
2025-02-13
DOI
https://doi.org/10.5858/arpa.2024-0204-oa
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00
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article

A Multicenter Study to Evaluate Diagnostic Accuracy by Pathologists Using the Aperio GT 450 DX in Local and Remote Viewing Stations

Dorina Gui, Thomas W. Bauer, Richard M. Feddersen, James E. Albro et al.
Archives of Pathology & Laboratory Medicine
AI in cancer detection
article

A Multicenter Study to Evaluate Diagnostic Accuracy by Pathologists Using the Aperio GT 450 DX in Local and Remote Viewing Stations

Dorina Gui, Thomas W. Bauer, Richard M. Feddersen, James E. Albro, John W. Bishop, Brian J. Hall, Nathash Kallichanda, Jennifer A. Lewis, Dylan V. Miller, Thomas G. McConnell, Jonathan E. Zuckerman, Morgan Darrow, Alexander D. Borowsky, James H. Spigel, Isaac E. Lloyd, Samuel J. Reynolds, Joseph Chiweshe, David R. Martin, Aysegul Ergin Sutcu, Michael White, Xiaozhi Zhou, Eric F. Glassy, Shubham Dayal
article en

Abstract

The diagnoses made using the Aperio GT 450 DX, using both local and remote access image data, were noninferior to the diagnoses made using conventional light microscopy.

Archives of Pathology & Laboratory MedicineVol. 149(9)
Intermountain Healthcare (US), Hospital for Special Surgery (US), University of California, Los Angeles (US), Ansys (United States) (US), Danaher (United Kingdom) (GB), Cardiovascular Medical Group (US), Reynolds American (United States) (US), University of California, Davis (US)
Quality Education
Openalex Percentile: Top 99%
AI in cancer detection
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