A pathologist-annotated dataset for validating artificial intelligence: A project description and pilot study
Sarah N Dudgeon1, Si Wen1, Matthew G Hanna2, Rajarsi Gupta3, Mohamed Amgad4, Manasi Sheth5, Hetal Marble6, Richard Huang6, Markus D Herrmann6, Clifford H Szu7, Darick Tong7, Bruce Werness7, Evan Szu7, Denis Larsimont8, Anant Madabhushi9, Evangelos Hytopoulos10, Weijie Chen1, Rajendra Singh11, Steven N Hart6, Ashish Sharma12, Joel Saltz3, Roberto Salgado13, Brandon D Gallas1
1 Division of Imaging Diagnostics and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiologic Health, United States Food and Drug Administration, White Oak, MD, USA 2 Memorial Sloan Kettering Cancer Center, New York, NY, USA 3 Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA 4 Department of Pathology, Northwestern University, Chicago, IL, USA 5 Division of Biostatistics, Center for Devices and Radiologic Health, United States Food and Drug Administration, White Oak, MD, USA 6 Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA 7 Arrive Bio, San Francisco, CA, USA 8 Department of Pathology, Institute Jules Bordet, Brussels, Belgium 9 Louis Stokes Cleveland Veterans Administration Medical Center, Cleveland, OH, USA 10 iRhythm Technologies Inc., San Francisco, CA, USA 11 Northwell Health and Zucker School of Medicine, New York, NY, USA 12 Department of Biomedical Informatics, Emory University, Atlanta, GA, USA 13 Division of Research, Peter Mac Callum Cancer Centre, Melbourne, Australia; Department of Pathology, GZA-ZNA Hospitals, Antwerp, Belgium
Correspondence Address:
Dr. Brandon D Gallas Division of Imaging, Diagnostics, and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, US Food and Drug Administration, 10903 New Hampshire Ave, Silver Spring, Rm 4104, White Oke-62, MD 20993 USA
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/jpi.jpi_83_20
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