Evidence map›Paper›PMID 42870147›Full record

ArticleJournal of imaging informatics in medicine2026

Can General-purpose Multimodal AI Reliably Measure Cobb Angles? A Head-to-head Diagnostic Agreement Study of GPT-5.1 and Gemini 3.1 Pro in Adolescent Idiopathic Scoliosis.

Muhammed Yusuf Afacan, Okan Can Karadeniz, Esra Circi, Alican Baris, Emre Ozmen, Serdar Yuksel, Suha Ahmet Aktas

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Article in Journal of imaging informatics in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Muhammed Yusuf AfacanDepartment of Orthopaedics and Traumatology, Istanbul Physical Therapy and Rehabilitation Training and Research Hospital, Istanbul, Turkey. drmyaorto@gmail.com.ORCID http://orcid.org/0000-0003-4940-4711
Okan Can KaradenizDepartment of Orthopaedics and Traumatology, Istanbul Physical Therapy and Rehabilitation Training and Research Hospital, Istanbul, Turkey.ORCID http://orcid.org/0009-0008-4517-0130
Esra CirciDepartment of Orthopaedics and Traumatology, Istanbul Physical Therapy and Rehabilitation Training and Research Hospital, Istanbul, Turkey.ORCID http://orcid.org/0000-0001-6515-4324
Alican BarisDepartment of Orthopaedics and Traumatology, Istanbul Physical Therapy and Rehabilitation Training and Research Hospital, Istanbul, Turkey.ORCID http://orcid.org/0000-0001-6031-6777
Emre OzmenDepartment of Orthopaedics and Traumatology, Istanbul Physical Therapy and Rehabilitation Training and Research Hospital, Istanbul, Turkey.ORCID http://orcid.org/0000-0002-8384-5468
Serdar YukselDepartment of Orthopaedics and Traumatology, Istanbul Physical Therapy and Rehabilitation Training and Research Hospital, Istanbul, Turkey.ORCID http://orcid.org/0000-0001-9796-5033
Suha Ahmet AktasDepartment of Orthopaedics and Traumatology, Istanbul Physical Therapy and Rehabilitation Training and Research Hospital, Istanbul, Turkey.ORCID http://orcid.org/0000-0002-4959-8758

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

General-purpose multimodal artificial intelligence (AI) models can interpret radiographs through natural-language prompts, but their quantitative agreement and anatomical traceability in adolescent idiopathic scoliosis remain uncertain. We compared GPT-5.1 and Gemini 3.1 Pro with a joint expert-consensus reference on 125 anonymized standing coronal whole-spine radiographs. Each model evaluated each image once in an independent chat session using the same standardized prompt; only the first response was retained. Outcomes included single-measure absolute-agreement intraclass correlation coefficients (ICCs), mean absolute error (MAE) relative to the reference, Bland-Altman analysis, error-threshold performance, categorical agreement, and end-vertebra concordance. Gemini 3.1 Pro showed higher ICC (0.842 versus 0.587), lower mean bias (3.46° versus 8.68°), lower MAE (5.06° versus 9.62°; paired P < 0.001), and more measurements within 5° of the reference (61.6% versus 24.8%). Agreement with reference categories was 80.0% versus 52.8% for angle-derived severity and 78.4% versus 52.8% for prompt-constrained management categories (both paired P < 0.001). Exact upper end-vertebra agreement was 14.4% versus 8.8%, and exact lower end-vertebra agreement was below 20% for both models. Gemini 3.1 Pro performed better under the tested single-session protocol, but neither model demonstrated sufficient case-level agreement and end-vertebra concordance to support autonomous Cobb-angle measurement. These results are relative to expert consensus and do not establish absolute measurement accuracy or model repeatability. Expert verification remains necessary.

Indexed as

Adolescent idiopathic scoliosisCobb angleDiagnostic agreementMultimodal artificial intelligenceRadiographyVision-language model

Identifiers

PMID42870147

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.