Cody Felty
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Researcher
Graduate Student Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
Cody Felty's research focuses on the application of artificial intelligence in medical diagnostics. His work investigates the comparative effectiveness of AI-based tools versus conventional software for tasks such as karyotyping. Felty has published research comparing an AI-based scanner-agnostic add-on utility with traditional karyotyping software, with this publication listed for 2026. He collaborates with researchers at the University of Arkansas for Medical Sciences, including Janet L. Lukacs, Marian Johnson, Misty Koch, and Elizabeth Shinn, with whom he shares one publication.
Metrics
- Publications: 1
Selected Publications
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P664: Comparative evaluation of an AI-based scanner-agnostic add-on utility versus conventional karyotyping software (2026)
Collaboration Network
Top Collaborators
- P664: Comparative evaluation of an AI-based scanner-agnostic add-on utility versus conventional karyotyping software
- P664: Comparative evaluation of an AI-based scanner-agnostic add-on utility versus conventional karyotyping software
- P664: Comparative evaluation of an AI-based scanner-agnostic add-on utility versus conventional karyotyping software
- P664: Comparative evaluation of an AI-based scanner-agnostic add-on utility versus conventional karyotyping software
- P664: Comparative evaluation of an AI-based scanner-agnostic add-on utility versus conventional karyotyping software
- P664: Comparative evaluation of an AI-based scanner-agnostic add-on utility versus conventional karyotyping software
- P664: Comparative evaluation of an AI-based scanner-agnostic add-on utility versus conventional karyotyping software
- P664: Comparative evaluation of an AI-based scanner-agnostic add-on utility versus conventional karyotyping software
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