Melissa Knowlton
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Researcher
Graduate Student Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
Melissa Knowlton's research focuses on the comparative evaluation of artificial intelligence (AI)-based tools in medical diagnostics. Her recent publication investigates the performance of an AI-based scanner-agnostic add-on utility against conventional karyotyping software for diagnostic purposes. This work involves collaborations with researchers at the University of Arkansas for Medical Sciences, including Janet L. Lukacs, Marian Johnson, Misty Koch, and Elizabeth Shinn, with whom she has co-authored publications.
Knowlton's scholarly output to date includes one publication. Her recent activity indicates continued engagement in research, with her most recent work published in 2026.
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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