Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40964, first published .
Near Real-time Natural Language Processing for the Extraction of Abdominal Aortic Aneurysm Diagnoses From Radiology Reports: Algorithm Development and Validation Study

Near Real-time Natural Language Processing for the Extraction of Abdominal Aortic Aneurysm Diagnoses From Radiology Reports: Algorithm Development and Validation Study

Near Real-time Natural Language Processing for the Extraction of Abdominal Aortic Aneurysm Diagnoses From Radiology Reports: Algorithm Development and Validation Study

Simon Gaviria-Valencia   1 , MD ;   Sean P Murphy   2 , BS ;   Vinod C Kaggal   3 , MS ;   Robert D McBane II   4 , MD ;   Thom W Rooke   4 , MD ;   Rajeev Chaudhry   5 , MBBS, MPH ;   Mateo Alzate-Aguirre   1 , MD ;   Adelaide M Arruda-Olson   1 , MD, PhD

1 Divisions of Preventive Cardiology and Cardiovascular Ultrasound, Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, United States

2 Advanced Analytics Services Unit (Natural Language Processing), Department of Information Technology, Mayo Clinic, Rochester, MN, United States

3 Enterprise Technology Services (Natural Language Processing), Department of Information Technology, Mayo Clinic, Rochester, MN, United States

4 Gonda Vascular Center, Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, United States

5 Department of Internal Medicine, Mayo Clinic, Rochester, MN, United States

Corresponding Author:

  • Adelaide M Arruda-Olson, MD, PhD
  • Divisions of Preventive Cardiology and Cardiovascular Ultrasound
  • Department of Cardiovascular Medicine
  • Mayo Clinic
  • 200 First Street SW
  • Rochester, MN, 55905
  • United States
  • Phone: 1 507-266-6853
  • Email: arrudaolson.adelaide@mayo.edu