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Artificial Intelligence Large Language Models Improve Patient Comprehension of Radiologist Magnetic Resonance Imaging

Emily Berzolla1, Griffith G Gosnell2, Larry Chen2

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Artificial intelligence (AI) translations of magnetic resonance imaging (MRI) reports significantly improved patient understanding and clarity compared to traditional reports. Patients preferred AI translations, highlighting their potential to enhance patient comprehension in orthopaedic care.

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Area of Science:

  • Radiology
  • Artificial Intelligence
  • Medical Informatics

Background:

  • Patient comprehension of radiology reports, such as magnetic resonance imaging (MRI), is often limited.
  • Traditional radiology reports may not effectively communicate complex medical information to patients.

Purpose of the Study:

  • To evaluate if artificial intelligence (AI) translation of MRI reports enhances patient understanding.
  • To assess patient preferences for AI-translated reports versus standard radiology reports.

Main Methods:

  • A prospective randomized study involving 64 patients with knee injuries.
  • Patients received either a standard MRI report or an AI-translated version (ChatGPT-4).
  • Comprehension was assessed via quiz, followed by a preference rating of both report types.

Main Results:

  • AI-translated reports led to a 20% higher score on comprehension quizzes compared to standard reports.
  • 87.5% of patients preferred the AI translation for its clarity.
  • Patients reported lower trust in AI translations (4.1/5) versus standard reports (4.5/5).

Conclusions:

  • AI-translated MRI reports significantly improve patient understanding and are preferred for clarity.
  • Physician oversight is crucial to maintain accuracy and patient trust in AI-generated medical information.