ChatGPT versus Gemini on radiology training exams

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ChatGPT slightly outperformed Gemini when tasked with completing radiology training exams; however, both large language models struggled with accuracy during image interpretation, according to a study published March 20 in Cureus. 

Researchers from Tampa, Fla.-based USF Health Morsani College of Medicine analyzed how OpenAI’s ChatGPT-4o and Google DeepMind’s Gemini Advanced performed on the 2022 American College of Radiology’s Diagnostic Radiology In-Training exam. 

Here are five things to know from their findings:

  1. The DXIT exam required analysis of both written and image-based content spanning several radiological subspecialties. The exam was administered to the LLMs as 106 multiple-choice questions.

  2. Though ChatGPT-4o exhibited a higher overall accuracy of 69.8%, compared to Gemini Advanced’s 60.4%, the difference was “not statistically significant,” researchers said.

    ChatGPT-4o exhibited increased accuracy in the cardiac and nuclear radiology subspecialties.

  3. Both ChatGPT-4o and Gemini Advanced showed similar accuracy on text-based questions, at 88.1% and 85.7%, respectively.

  4. ChatGPT-4o’s accuracy on image-based questions was 57.8%, higher than Gemini Advanced’s 43.8%.

  5. Both models exhibited better accuracy on the written questions, highlighting the need for further training on image interpretation, the study authors said. 

Read the full study here.

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