Utilization of an artificial intelligence–enhanced, web‐based application to review bile duct brushing cytologic specimens: A pilot study

This trial demonstrates that an AI application allows cytologists to perform a triaged review of WSIs while maintaining accuracy.

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Institutions

Publication Details

Journal
Cancer Cytopathology
Published
2024-08-29
DOI
https://doi.org/10.1002/cncy.22898
Citations
2
Primary Topic
Pancreatic and Hepatic Oncology Research
Type
article
Field-Weighted Citation Impact
0.57
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article

Utilization of an artificial intelligence–enhanced, web‐based application to review bile duct brushing cytologic specimens: A pilot study

Gregory James Gores, Patrick Powers, Andrew C. Storm, Daniel Norton et al.
2 citations
Cancer Cytopathology
Pancreatic and Hepatic Oncology Research
0.57
article

Utilization of an artificial intelligence–enhanced, web‐based application to review bile duct brushing cytologic specimens: A pilot study

Gregory James Gores, Patrick Powers, Andrew C. Storm, Daniel Norton, Barham K. Abu Dayyeh, Ryan J. Law, Liron Pantanowitz, Zahra Maleki, Neil B. Marya, Rondell Patrell Graham, Judith Jebastin Thangaiah, Melanie C. Bois, Christopher Hartley, Richard Cantley, Sarah E. Kerr, Vinay Chandrasekhara, Ferga C. Gleeson, Michael J. Levy, Bret T. Petersen, John A. Martin
article en
2 citations

Abstract

This trial demonstrates that an AI application allows cytologists to perform a triaged review of WSIs while maintaining accuracy.

Cancer CytopathologyVol. 132(12)
Allina Health (US), Mayo Clinic (US), University of Massachusetts Chan Medical School (US), University of Pittsburgh (US), University of Michigan (US), WinnMed (US), Johns Hopkins Hospital (US)
Openalex Percentile: Top 28%
Pancreatic and Hepatic Oncology Research
0.57
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Utilization of an artificial intelligence–enhanced, web‐based application to review bile duct brushing cytologic specimens: A pilot study — Gregory James Gores, Patrick Powers, et al. · Cancer Cytopathology (2024) | TGRS Research Map | TGRS