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Comparative Accuracy of ChatGPT 4.0 and Google Gemini in Answering Pediatric Radiology Text-Based Questions
Mohammed Abdul Sami1, Mohammed Abdul Samad2, Keyur Parekh1
1Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, USA.
Cureus
|November 5, 2024
Summary
ChatGPT 4.0 demonstrated higher accuracy than Google Gemini in answering text-based pediatric radiology questions. This finding suggests AI
Area of Science:
- Artificial Intelligence in Medical Education
- Radiology AI Accuracy Assessment
Background:
- Accurate interpretation of text and images is crucial in radiology.
- AI language models offer potential value in medical education and radiology training.
Purpose of the Study:
- To evaluate the accuracy of ChatGPT 4.0 and Google Gemini in answering pediatric radiology questions.
- To compare the performance of two leading AI language models on a specific medical domain.
Main Methods:
- 79 text-based pediatric radiology questions were selected from 'Pediatric Imaging: A Core Review'.
- ChatGPT 4.0 and Google Gemini answered the selected questions.
- Responses were assessed using a binary scoring system, with statistical analyses including chi-square tests and relative risk calculations.
Main Results:
- ChatGPT 4.0 achieved 83.5% accuracy (66/79), outperforming Google Gemini's 68.4% accuracy (54/79) (p=0.0255, RR=1.221).
- No statistically significant differences in accuracy were observed between the models within individual subsections (p-values 0.136-1).
Conclusions:
- ChatGPT 4.0 shows superior overall accuracy for text-based pediatric radiology questions compared to Google Gemini.
- Further research is needed with larger datasets and multimodal inputs to fully assess AI capabilities in radiology education.
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