Michael Lynn
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Researcher
Graduate Student Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
Michael Lynn's research focuses on the application of artificial intelligence in medical imaging analysis. His work includes a comparative evaluation of an AI-based scanner-agnostic add-on utility against conventional karyotyping software for image analysis. This research investigates the potential of AI to enhance diagnostic tools in medical settings. Lynn has one publication and has collaborated with Janet L. Lukacs, Marian Johnson, Misty Koch, and Elizabeth Shinn at the University of Arkansas for Medical Sciences on this work.
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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