Using GPT-4o to interpret patient-reported outcomes without training
Authors:
- Thomas M AtkinsonTAThomas M Atkinson
- Aleksandr PetrovAPAleksandr Petrov
- Kathleen A LynchKLKathleen A Lynch
- Login S GeorgeLGLogin S George
- Jennifer R CracchioloJCJennifer R Cracchiolo
- Bobby DalyBDBobby Daly
- Kristen L FesseleKFKristen L Fessele
- James H FloryJFJames H Flory
- Jun J MaoJMJun J Mao
- Yuelin LiYLYuelin Li
- 3 February 2025
- journal article
- Published by Oxford University Press (OUP) in JNCI: Journal of the National Cancer Institute
- Vol. 117 (4) , 809-811
Abstract
No abstract availableFunding Information
- National Institutes of Health
- National Cancer Institute Cancer Center (P30 CA008748-58)
- Patient-Reported Outcomes, Community Engagement, and Language Core Facility
- National Cancer Institute
This publication has 5 references indexed in Scilit:
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- Chat-ePRO: Development and pilot study of an electronic patient-reported outcomes system based on ChatGPTJournal of Biomedical Informatics, 2024
- Effect of Electronic Symptom Monitoring on Patient-Reported Outcomes Among Patients With Metastatic CancerJAMA, 2022
- Reconciling the prospect of disease progression with goals and expectations: Development and validation of a measurement model in advanced cancerPsycho-Oncology, 2022
- Patient free text reporting of symptomatic adverse events in cancer clinical research using the National Cancer Institute’s Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE)Journal of the American Medical Informatics Association, 2019