Artificial Intelligence Chatbots’ Understanding of the Risks and Benefits of Computed Tomography and Magnetic Resonance Imaging Scenarios

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Abstract

Purpose: Patients may seek online information to better understand medical imaging procedures. The purpose of this study was to assess the accuracy of information provided by 2 popular artificial intelligence (AI) chatbots pertaining to common imaging scenarios’ risks, benefits, and alternatives. Methods: Fourteen imaging-related scenarios pertaining to computed tomography (CT) or magnetic resonance imaging (MRI) were used. Factors including the use of intravenous contrast, the presence of renal disease, and whether the patient was pregnant were included in the analysis. For each scenario, 3 prompts for outlining the (1) risks, (2) benefits, and (3) alternative imaging choices or potential implications of not using contrast were inputted into ChatGPT and Bard. A grading rubric and a 5-point Likert scale was used by 2 independent reviewers to grade responses. Prompt variability and chatbot context dependency were also assessed. Results: ChatGPT’s performance was superior to Bard’s in accurately responding to prompts per Likert grading (4.36 ± 0.63 vs 3.25 ± 1.03 seconds, P

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Patil, N. S., Huang, R. S., Caterine, S., Yao, J., Larocque, N., van der Pol, C. B., & Stubbs, E. (2024). Artificial Intelligence Chatbots’ Understanding of the Risks and Benefits of Computed Tomography and Magnetic Resonance Imaging Scenarios. Canadian Association of Radiologists Journal, 75(3), 518–524. https://doi.org/10.1177/08465371231220561

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