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David S. McClintock
University of Michigan–Ann Arbor
· US
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Area of research
Artificial Intelligence · Health Informatics
Research interest
Research interests include Workflow, Delphi method, Likert scale, Medical laboratory, Pathology, and Digital pathology.
h-index
—
citations
144
works
2
NIH funding
—
primary concept
—
email
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Recent publications
Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade
EBioMedicine
2023
cited by
101
position: middle
doi
Display Characteristics and Their Impact on Digital Pathology: A Current Review of Pathologists’ Future “Microscope”
Journal of Pathology Informatics
2020
cited by
43
position: last
doi
Grants
No grants ingested yet.
Frequent collaborators
John Blau
· University of Iowa
1
papers (2020–2020)
Jerome Cheng
· University of Michigan–Ann Arbor
1
papers (2020–2020)
Keluo Yao
· Cedars-Sinai Medical Center
1
papers (2020–2020)
Jacob T. Abel
· University of Michigan–Ann Arbor
1
papers (2020–2020)
Toby C. Cornish
· Medical College of Wisconsin
1
papers (2020–2020)
Peter Ouillette
· University of Michigan–Ann Arbor
1
papers (2020–2020)
Christopher L. Williams
· University of Oklahoma Health Sciences Center
1
papers (2020–2020)
Ulysses J. Balis
· University of Michigan–Ann Arbor
1
papers (2020–2020)
Winston Y. Lee
· University of Miami
1
papers (2020–2020)
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