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AI-Generated Patient-Friendly MRI Fistula Summaries: A Pilot Randomised Study.

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AI-generated patient-friendly MRI summaries for perianal fistulising Crohn's disease (pfCD) significantly improved patient understanding and engagement. These summaries enhance communication and clinical workflow, offering a more accessible alternative to standard radiology reports.

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Area of Science:

  • Gastroenterology and Radiology
  • Artificial Intelligence in Medicine

Background:

  • Perianal fistulising Crohn's disease (pfCD) impacts many Crohn's patients, necessitating frequent MRI monitoring.
  • Standard radiology reports use technical language, hindering patient comprehension, increasing anxiety, and impeding shared decision-making.

Purpose of the Study:

  • To evaluate the feasibility and safety of using AI (ChatGPT-4) to create patient-friendly MRI summaries for pfCD.
  • To assess if AI summaries improve patient understanding, engagement, and shared decision-making compared to standard reports.

Main Methods:

  • AI-generated patient-friendly summaries were created from de-identified MRI fistula reports.
  • Clinicians assessed AI summaries for readability (Flesch-Kincaid) and hallucinations.
  • Patients were randomized to review either AI summaries or original reports, rating them on readability, comprehensibility, utility, quality, and trustworthiness.

Main Results:

  • Patients rated AI summaries significantly higher for readability, comprehensibility, utility, and quality, with fewer follow-up questions.
  • Clinicians found AI summaries more readable and free of hallucinations.
  • No clinically significant inaccuracies were identified in the AI-generated summaries.

Conclusions:

  • AI-generated patient-friendly MRI summaries are feasible and safe for pfCD.
  • These summaries show potential to enhance patient-clinician communication and streamline clinical workflows.
  • Further research is needed to validate clinical utility and long-term acceptability.