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Related Experiment Video

Updated: Jun 24, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
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Patient-centered radiology reports with generative artificial intelligence: adding value to radiology reporting.

Jiwoo Park1, Kangrok Oh1, Kyunghwa Han2

  • 1Department of Radiology, Research Institute of Radiological Science, and Center for Clinical Imaging Data Science (CCIDS), Yonsei University College of Medicine, 50-1 Yonsei-Ro, Seodaemun-Gu, Seoul, 03722, South Korea.

Scientific Reports
|June 8, 2024
PubMed
Summary

Generative AI significantly enhances radiology reports, improving patient understanding and workflow efficiency. AI-generated reports show high quality and accuracy, advancing patient-centered radiology.

Keywords:
Artificial hallucinationArtificial intelligenceLarge language modelPatient-centered radiologyRadiologic report

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Area of Science:

  • Radiology and Medical Imaging
  • Artificial Intelligence in Healthcare
  • Health Informatics

Background:

  • Radiology reports are crucial for patient care but can be complex.
  • Improving report clarity and accessibility is essential for patient comprehension.
  • Generative AI offers potential solutions for enhancing medical reporting.

Purpose of the Study:

  • To evaluate the efficacy of AI-generated radiology reports.
  • To assess AI report summaries, patient-friendliness, and recommendations.
  • To determine the consistent performance and accuracy of AI in radiology reporting.

Main Methods:

  • 685 spine MRI reports were analyzed.
  • AI generated reports in summary, patient-friendly, and recommendation formats.
  • Radiologists and non-physician raters assessed report quality, accuracy, and comprehension.

Main Results:

  • AI-generated reports received high average scores across all formats.
  • Patient-friendly reports significantly increased comprehension scores (2.71 to 4.69, p < 0.001).
  • AI reports had 1.12% artificial hallucinations and 7.40% potentially harmful translations.

Conclusions:

  • Generative AI can improve radiology report quality and efficiency.
  • AI facilitates patient-centered reports and recommendations.
  • AI assistants offer benefits for radiology workflow and patient communication.