Prospective Evaluation of Large Language Model Integration Into a Classical Hematology Case Conference

Prospective integration of large language model tools into a classical hematology challenging-cases conference was feasible, increased clinician familiarity and interest, and was perceived as diagnostically and educationally valuable.

Authors

Tariq Zuheir Kewan (ORCID: https://orcid.org/0000-0003-4651-5125)
Layla Van Doren
Alfred Lee

Institutions

Mayo Clinic (US)
Yale University (US)
Mayo Clinic in Florida (US)

Publication Details

Journal: JMIR Formative Research
Published: 2026-02-11
DOI: https://doi.org/10.2196/89939
Primary Topic: Artificial Intelligence in Healthcare and Education
Type: article
Field-Weighted Citation Impact: 0.00

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article

Prospective Evaluation of Large Language Model Integration Into a Classical Hematology Case Conference

Tariq Zuheir Kewan, Layla Van Doren, Alfred Lee

Feb 11, 2026

JMIR Formative Research

Artificial Intelligence in Healthcare and Education

article

Prospective Evaluation of Large Language Model Integration Into a Classical Hematology Case Conference

Tariq Zuheir Kewan, Layla Van Doren, Alfred Lee

February 11, 2026article en

Abstract

JMIR Formative ResearchVol. 10

Mayo Clinic (US), Yale University (US), Mayo Clinic in Florida (US)

Quality Education

Openalex Percentile: Top 61%

Artificial Intelligence in Healthcare and Education

DOI Open Access PDF OpenAlex

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