Generative Artificial Intelligence Successfully Automates Data Extraction From Unstructured Magnetic Resonance Imaging Reports: Feasibility in Prostate Cancer Care
GPT-4.0 had high accuracy with low variability in extracting data points from prostate cancer MRI reports with low upfront programming requirements. This represents an effective tool to expedite medical data extraction for clinical and research use cases.
Authors
- Janet E. Cowan (ORCID: https://orcid.org/0000-0003-1852-8260)
- Peter R. Carroll (ORCID: https://orcid.org/0000-0002-1086-4334)
- Anobel Y. Odisho (ORCID: https://orcid.org/0000-0003-0975-0812)
- William A. Pace
- Matthew R. Cooperberg (ORCID: https://orcid.org/0000-0003-4339-6685)
- Marvin N. Carlisle
- Andrew W. Liu
- Robert Krumm
Institutions
- University of California, San Francisco (US)
Publication Details
- Journal
- JCO Clinical Cancer Informatics
- Published
- 2026-01-01
- DOI
- https://doi.org/10.1200/cci-24-00334
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00