ArticleThe Indian journal of radiology & imaging2025
Evaluating ChatGPT-4's Performance in Identifying Radiological Anatomy in FRCR Part 1 Examination Questions.
Article in The Indian journal of radiology & imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed.
- Performance of DeepSeek V3, DeepSeek R1, ChatGPT 4o, and ChatGPT o1 on the National Health Professional and Technical Qualification Examination (Intermediate Level) in China: Comparative Analysis.JMIR formative research · 2026Article
- Article
- Visual recognition limitations in multimodal large language models: A comparative analysis of histological image interpretation.PLOS digital health · 2026Article
- Effect of Region-of-Interest Prompting on Gemini 2.5 Pro in MRI Classification of Anterior Cruciate Ligament Injury.Cureus · 2026Article
- Comment on "Evaluating ChatGPT-4's Performance in Identifying Radiological Anatomy in FRCR Part 1 Examination Questions".The Indian journal of radiology & imaging · 2026Article
- When AI models take the exam: large language models vs medical students on multiple-choice course exams.Medical education online · 2025Article
- Evaluation of AI models for radiology exam preparation: DeepSeek vs. ChatGPT-3.5.Medical education online · 2025Article
- Identifying Volar Locking Plates on Plain Radiographs: Can Artificial Intelligence Models 'Beat' Clinicians?Cureus · 2025Article
- Diagnostic Performance of Multimodal Large Language Models in the Analysis of Oral Pathology.Oral diseases · 2025Article
- Article
- Evaluating diagnostic accuracy of large language models in neuroradiology cases using image inputs from JAMA neurology and JAMA clinical challenges.Scientific reports · 2025Article
- Large Language Models for the National Radiological Technologist Licensure Examination in Japan: Cross-Sectional Comparative Benchmarking and Evaluation of Model-Generated Items Study.JMIR medical education · 2025Article
- Article
- ChatGPT's Performance on the Orthopaedic In-Training Examination (OITE): No Better Than a PGY3 Resident?Cureus · 2025Article
- Large Language Models Perform at Chance Level in the Diagnosis of Pediatric Pneumonia Using Chest Radiographs.Cureus · 2025Article
- Article
- Performance of Large Language Models in Recognizing Brain MRI Sequences: A Comparative Analysis of ChatGPT-4o, Claude 4 Opus, and Gemini 2.5 Pro.Diagnostics (Basel, Switzerland) · 2025Article
- Performance of ChatGPT-3.5 and ChatGPT-4 in Solving Questions Based on Core Concepts in Cardiovascular Physiology.Cureus · 2025Article
- Artificial intelligence in anatomy education: a systematic review of ChatGPT's effectiveness as a learning tool.Proceedings (Baylor University. Medical Center)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.