Between-study heterogeneity in LLM dental-question accuracy is very high (I² = 91.5%), with a prediction interval spanning 29.65% to 91.71%¶
Claim · All claims
Evidence · 1 study · quant-synthesisr3·q3
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly
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q3 i? Heterogeneity across the 39 studies was substantial (I² = 91.5%), and prediction intervals spanned 29.65% to 91.71% for future implementations. → Dashti Mahmood 2026
Evidence¶
Dashti Mahmood 2026¶
Dashti Mahmood, Khosraviani Farshad, Meyari Atieh, Amirzade-Iranaq Mohammad Hosein, Chaurasia Akhilanand, Hefzi Delband, Ghadimi Niloofar, Tichy Antonin, Khurshid Zohaib, Schwendicke Falk. (2026). Accuracy of Large Language Models in Answering Dental Examination Questions: A Systematic Review and Meta-Analysis. International Dental Journal. https://doi.org/10.1016/j.identj.2026.109609
q3 · i? · quant-synthesis · r3
Heterogeneity assessment within the random-effects meta-analysis of 39 studies; I² = 91.5% and τ² = 0.0287 were reported, and the prediction interval for future implementations was "29.65% to 91.71%".
"Prediction intervals spanning 29.65% to 91.71% highlight the variability in expected correct answer rate across future implementations."
Discussion¶
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