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

Tariq Kewan¹, Alfred I Lee², Layla Van Doren²

¹Department of Medicine, Division of Hematology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, United States, 1 6193896524.

JMIR Formative Research

|March 18, 2026

Summary

Integrating large language model (LLM) tools into hematology conferences proved feasible. Clinicians found these AI tools valuable for diagnosis and education, increasing their interest and familiarity.

Keywords:

artificial intelligence classical hematology education large language model machine learning

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Area of Science:

Hematology
Artificial Intelligence
Medical Education

Background:

Classical hematology challenging-cases conferences are crucial for medical training.
The integration of artificial intelligence (AI) tools, such as large language models (LLMs), in medical education is an emerging area.
Assessing the feasibility and impact of LLMs in this setting is important.

Purpose of the Study:

To evaluate the prospective integration of large language model tools into a hematology challenging-cases conference.
To assess the feasibility, clinician familiarity, interest, and perceived diagnostic and educational value of LLMs in this context.

Main Methods:

A prospective study involving the integration of LLM tools into a classical hematology challenging-cases conference.
Evaluation of feasibility, clinician engagement, and perceived value through observational and qualitative assessments.

Main Results:

The integration of LLM tools was found to be feasible.
Clinician familiarity with and interest in LLM tools increased post-integration.
LLMs were perceived as diagnostically and educationally valuable by clinicians.

Conclusions:

Large language models can be successfully integrated into hematology challenging-cases conferences.
LLM integration enhances clinician engagement and is perceived as a valuable diagnostic and educational resource.
This approach shows promise for modernizing medical education in hematology.