Reproducible generative artificial intelligence evaluation for health care: a clinician-in-the-loop approach

This framework offers a reproducible methodology for evaluating health-care generative AI systems, establishing foundational processes that can inform future efforts while supporting the implementation of generative AI applications in clinical settings.

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Publication Details

Journal
JAMIA Open
Published
2025-05-02
DOI
https://doi.org/10.1093/jamiaopen/ooaf054
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
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article

Reproducible generative artificial intelligence evaluation for health care: a clinician-in-the-loop approach

Drahomíra Herrmannová, Venkatesh Avula, Leah Livingston, A. P. Barry et al.
1 citations
JAMIA Open
Artificial Intelligence in Healthcare and Education
0.65
article

Reproducible generative artificial intelligence evaluation for health care: a clinician-in-the-loop approach

Drahomíra Herrmannová, Venkatesh Avula, Leah Livingston, A. P. Barry, Amber Featherstone-Uwague, Kenneth Barretto, Tara Morey
article en
1 citations

Abstract

This framework offers a reproducible methodology for evaluating health-care generative AI systems, establishing foundational processes that can inform future efforts while supporting the implementation of generative AI applications in clinical settings.

JAMIA OpenVol. 8(3)
RELX Group (United States) (US)
Openalex Percentile: Top 24%
Artificial Intelligence in Healthcare and Education
0.65
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Reproducible generative artificial intelligence evaluation for health care: a clinician-in-the-loop approach — Drahomíra Herrmannová, Venkatesh Avula, et al. · JAMIA Open (2025) | TGRS Research Map | TGRS