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AI-Assisted Summarization of Radiologic Reports: Evaluating GPT3davinci, BARTcnn, LongT5booksum, LEDbooksum, LEDlegal, and LEDclinical.

Aichi ChienHubert TangBhavita JagessarKai-Wei ChangNanyun PengKambiz NaelNoriko Salamon
Published in: AJNR. American journal of neuroradiology (2024)
AI NLP summarization models demonstrated great potential in summarizing longitudinal aneurysm reports, though none yet reached the level of quality for clinical usage. We found the online GPT LLM outperformed the others; however, the BARTcnn model is potentially more useful because it can be implemented on-site. Future work to improve summarization, address other types of neuroimaging reports, and develop structured reports may allow NLP models to ease clinical workflow.
Keyphrases
  • adverse drug
  • artificial intelligence
  • coronary artery
  • healthcare
  • machine learning
  • quality improvement