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. 2026 Aug 14;9(5):1231–1237. doi: 10.31662/jmaj.2026-0019

Table 2.

Quantitative evaluation of GenAI-generated podcasts using a modified rMETRIQ score (n = 6: three medical education specialists and three general clinician-educators).

Items and formats S1 S2 S3 Median (range) C1 C2 C3 Median (range)
Background
Radio 2 2 2 2.0 (2–2) 3 3 3 3.0 (3–3)
Narrative 3 2 2 2.0 (2–3) 3 2 2 2.0 (2–3)
Appropriate amount of information
Radio 3 3 2 3.0 (2–3) 3 3 3 3.0 (3–3)
Narrative 2 2 3 2.0 (2–3) 3 3 2 3.0 (2–3)
Well-produced
Radio 3 3 3 3.0 (3–3) 2 3 2 2.0 (2–3)
Narrative 2 3 3 3.0 (2–3) 2 3 3 3.0 (2–3)
Cites references
Radio 3 3 2 3.0 (2–3) 3 3 2 3.0 (2–3)
Narrative 3 2 3 3.0 (2–3) 2 3 3 3.0 (2–3)
Editorial process
Radio 1 1 0 1.0 (0–1) 1 1 3 1.0 (1–3)
Narrative 1 1 1 1.0 (1–1) 1 1 0 1.0 (0–1)
Utility
Radio 3 2 3 3.0 (2–3) 3 3 3 3.0 (3–3)
Narrative 2 2 3 2.0 (2–3) 3 3 3 3.0 (3–3)
Interesting/engaging
Radio 2 3 2 2.0 (2–3) 3 2 3 3.0 (2–3)
Narrative 3 3 2 3.0 (2–3) 3 2 2 2.0 (2–3)

C: general clinician-educator; GenAI: generative artificial intelligence; rMETRIQ: Revised Medical Education Translational Resources: Impact and Quality; S: medical education specialist.