Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Mar 2, 2025
Date Accepted: Apr 28, 2025
Artificial intelligence in dental radiology: improving patient communication with ChatGPT – a comparative study
ABSTRACT
Background:
Artificial intelligence (AI) has emerged as a transformative tool in healthcare, particularly in improving medical documentation and communication.
Objective:
This study investigates the potential of ChatGPT, an AI language model, to enhance patient comprehension of radiology reports through simplification.
Methods:
Three versions of radiology reports were evaluated: original AI-generated, simplified, and further simplified versions. Patient feedback of 300 patients was collected via structured questionnaires assessing clarity, tone, structure, and patient engagement.
Results:
The results demonstrated that both simplified versions significantly outperformed the original AI-generated reports across all dimensions, with the further simplified version receiving the highest ratings. Patients consistently reported greater clarity, improved tone, and enhanced engagement with the simplified texts. Readability analysis confirmed these findings, as simplified reports achieved higher Flesch Reading Ease scores and lower LIX indices (readability index), indicating improved accessibility without compromising clinical relevance.
Conclusions:
Overall, simplified reports effectively empower patients to understand their medical conditions and actively engage in healthcare decisions. Clinical Relevance: This study therefore highlights the transformative potential of ChatGPT in advancing patient-centered communication while emphasizing the need for a cautious and collaborative approach to AI integration in clinical workflows.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.