Benchmarking Gemini 1.5 Pro in Pediatric Emergency Radiology: Sensitivity Gap and Physiological Bias in the Immature Skeleton

Background/Objectives: To assess the diagnostic performance of Gemini 1.5 Pro, a general-purpose Large Multimodal Model (LMM), as a zero-shot, smartphone-based decision support tool to distinguish pediatric fractures from healthy controls. Methods: A retrospective diagnostic accuracy study was conducted on 182 pediatric radiographs (112 confirmed fractures, 70 healthy controls) using the Gemini 1.5 Pro mobile interface with a 4-question prompt protocol (Detection, Characterization, Skeletal Maturity, Management). Diagnostic metrics were calculated with 95% Confidence Intervals (95% CI). Ground truth was established by a senior musculoskeletal radiologist. Results: The model showed an overall sensitivity of 90.2% (95% CI: 83.1–95.0%) and specificity of 87.1% (95% CI: 77.0–93.9%). A significant sensitivity gap occurred between displaced (100.0%; 95% CI: 91.4–100.0%) and non-displaced fractures (84.5%; 95% CI: 74.0–92.0%; p = 0.007). Qualitative taxonomy revealed a primary physiological bias leading to a 12.8% false-positive rate due to growth plate misinterpretation, alongside minor characterization and localization errors (3.6% of correctly identified fractures). When fractures were correctly identified, proposed management strategies aligned with international standards in 95.0% of cases. Inter-observer reliability was excellent (weighted k = 0.96). Conclusions: Gemini 1.5 Pro displays robust clinical reasoning for obvious trauma. However, its zero-shot performance is limited by subtle morphological disruptions and developmental anatomical nuances such as open growth plates. It shows promise as a mobile clinical decision support system for non-specialists, but expert human supervision remains necessary to ensure safety in the complex radiographic landscape of the immature skeleton.

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Journal
Diagnostics
Published
2026-09-24
DOI
https://doi.org/10.3390/diagnostics16193112
Primary Topic
Artificial Intelligence in Healthcare and Education
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article
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article

Benchmarking Gemini 1.5 Pro in Pediatric Emergency Radiology: Sensitivity Gap and Physiological Bias in the Immature Skeleton

Nicola Maffulli, Luca Labianca, Vito Caiolo, Cristiano Benelli et al.
Diagnostics
Artificial Intelligence in Healthcare and Education
article

Benchmarking Gemini 1.5 Pro in Pediatric Emergency Radiology: Sensitivity Gap and Physiological Bias in the Immature Skeleton

Nicola Maffulli, Luca Labianca, Vito Caiolo, Cristiano Benelli, Gabriele Altavilla
article en

Abstract

Background/Objectives: To assess the diagnostic performance of Gemini 1.5 Pro, a general-purpose Large Multimodal Model (LMM), as a zero-shot, smartphone-based decision support tool to distinguish pediatric fractures from healthy controls. Methods: A retrospective diagnostic accuracy study was conducted on 182 pediatric radiographs (112 confirmed fractures, 70 healthy controls) using the Gemini 1.5 Pro mobile interface with a 4-question prompt protocol (Detection, Characterization, Skeletal Maturity, Management). Diagnostic metrics were calculated with 95% Confidence Intervals (95% CI). Ground truth was established by a senior musculoskeletal radiologist. Results: The model showed an overall sensitivity of 90.2% (95% CI: 83.1–95.0%) and specificity of 87.1% (95% CI: 77.0–93.9%). A significant sensitivity gap occurred between displaced (100.0%; 95% CI: 91.4–100.0%) and non-displaced fractures (84.5%; 95% CI: 74.0–92.0%; p = 0.007). Qualitative taxonomy revealed a primary physiological bias leading to a 12.8% false-positive rate due to growth plate misinterpretation, alongside minor characterization and localization errors (3.6% of correctly identified fractures). When fractures were correctly identified, proposed management strategies aligned with international standards in 95.0% of cases. Inter-observer reliability was excellent (weighted k = 0.96). Conclusions: Gemini 1.5 Pro displays robust clinical reasoning for obvious trauma. However, its zero-shot performance is limited by subtle morphological disruptions and developmental anatomical nuances such as open growth plates. It shows promise as a mobile clinical decision support system for non-specialists, but expert human supervision remains necessary to ensure safety in the complex radiographic landscape of the immature skeleton.

DiagnosticsVol. 16(19)
Azienda Ospedaliera Sant'Andrea (IT)
Openalex Percentile: Top 15%
Artificial Intelligence in Healthcare and Education
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Benchmarking Gemini 1.5 Pro in Pediatric Emergency Radiology: Sensitivity Gap and Physiological Bias in the Immature Skeleton — Nicola Maffulli, Luca Labianca, et al. · Diagnostics (2026) | TGRS Research Map | TGRS