Authors
Jad Najdi, Bilal Alameddine, Alexandre Armache, Marwan Zein, William S Azar, Albert El-Hajj
Published in
Scientific reports. Volume 15. Issue 1. Pages 34021. Sep 30, 2025. Epub Sep 30, 2025.
Abstract
The rapid advancement of artificial intelligence, particularly large language models like ChatGPT-3.5, presents promising applications in healthcare. This study evaluates ChatGPT-3.5's validity in responding to post-operative patient inquiries following surgery for benign prostatic hyperplasia (BPH). Common patient-generated questions were sourced from discharge instructions, online forums, and social media, covering various BPH surgical modalities. ChatGPT-3.5 responses were assessed by two senior urology residents using pre-defined criteria, with discrepancies resolved by a third reviewer. A total of 496 responses were reviewed, with 280 excluded. Among the 216 graded responses, 78.2% were comprehensive and correct, 9.3% were incomplete or partially correct, 10.2% contained a mix of accurate and inaccurate information, and 2.3% were entirely incorrect. Newer procedures (Aquablation, Rezum, iTIND) had a higher percentage of correct answers compared to traditional techniques (TURP, simple prostatectomy). The most common errors involved missing context or incorrect details (36.6%). These findings suggest that ChatGPT-3.5 has potential in providing accurate post-operative guidance for BPH patients. However, concerns regarding incomplete and misleading responses highlight the need for further refinement to improve AI-generated medical advice and ensure patient safety. Future research should focus on enhancing AI reliability in clinical applications.
PMID:
41028089
Bibliographic data and abstract were imported from PubMed on 01 Oct 2025.
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