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Deep-Transfer-Learning-Based Natural Language Processing of Serial Free-Text Computed Tomography Reports for Predicting Survival of Patients With Pancreatic Cancer.

Sunkyu KimSeung-Seob KimEejung KimMichael CecchiniMi-Suk ParkJi A ChoiSung Hyun KimHo Kyoung HwangChang Moo KangHye Jin ChoiSang Joon ShinJaewoo KangChoong-Kun Lee
Published in: JCO clinical cancer informatics (2024)
Deep-transfer-learning-based NLP model of serial CT reports can predict the survival of patients with pancreatic cancer. Clinical decisions can be supported by the developed model, with survival information extracted solely from serial radiology reports.
Keyphrases
  • computed tomography
  • free survival
  • adverse drug
  • positron emission tomography
  • magnetic resonance imaging
  • dual energy
  • contrast enhanced
  • image quality
  • artificial intelligence
  • smoking cessation
  • deep learning