Progression‐Free Survival Prediction Performance of ChatGPT: Analysis With Real Life Data in Early and Locally Advanced Prostate Cancer
The use of artificial intelligence in predictive modeling may prove an effective approach for forecasting the PFS of prostate cancer. It has the potential to supplant the nomograms that are currently in use. Nevertheless, further studies are required to substantiate the accuracy and reliability of these systems.
Authors
- İsmail Dilli (ORCID: https://orcid.org/0009-0005-9043-9790)
- Engin Eren Kavak (ORCID: https://orcid.org/0000-0003-3247-5361)
Institutions
- Memorial Ankara Hospital (TR)
Publication Details
- Journal
- The Prostate
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1002/pros.24871
- Citations
- 1
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.52