ORIGINAL RESEARCH article

Front. Med.

Sec. Family Medicine and Primary Care

Volume 12 - 2025 | doi: 10.3389/fmed.2025.1543630

This article is part of the Research TopicArtificial Intelligence and Big Data for Value-Based Care - Volume IIIView all 8 articles

Comparison of Preoperative Education by Artificial Intelligence Versus Traditional Physicians in Perioperative Management of Urolithiasis Surgery: A Prospective Single-Blind Randomized Controlled Trial Conducted in China

Provisionally accepted
Hui  ZhangHui Zhang1,2Xianjing  WangXianjing Wang3Weiyong  ZengWeiyong Zeng2Xuwei  HongXuwei Hong2Jiasheng  FengJiasheng Feng2Guangming  LuGuangming Lu2Yongquan  SuYongquan Su2Wenting  TongWenting Tong3Yang  XiaoYang Xiao2*
  • 1University of Rome Tor Vergata, Roma, Italy
  • 2Dongguan Hospital of Traditional Chinese Medicine, Dongguan, Guangdong Province, China
  • 3Gannan Healthcare Vocational College, Ganzhou, Jiangxi Province, China

The final, formatted version of the article will be published soon.

Background: Preoperative anxiety is common in patients awaiting urolithiasis surgery.Although adequate preoperative education can reduce anxiety and improve outcomes, time and resource constraints often limit the depth and personalization of such interventions.Recent advances in AI, particularly large language models like GPT-4o and Ernie Bot, offer potential tools to supplement traditional education. However, their comparative effectiveness remains unclear.Purpose: This randomized controlled trial compared the effectiveness of AI-based preoperative education (ChatGPT, Ernie Bot) to that provided by mid-level urologistattending urologists in reducing anxiety, enhancing satisfaction, and improving information quality.Methods: Seventy-five adult patients scheduled for urolithiasis surgery were randomly assigned (1:1:1) to ChatGPT, Ernie Bot, or urologist-led education. All received a standardized consultation 12 hours preoperatively. The AI groups then had a 30-minute Q&A with their assigned AI, and the physician group received an additional face-to-face session.Anxiety was measured via the State-Trait Anxiety Inventory (STAI) at baseline, immediately post-intervention, 3 hours pre-op, and 3 hours post-op. Secondary outcomes included patient satisfaction, query count, evaluation of information quality (safety, accuracy, empathy, readability, detail), and postoperative (3h) pain (VAS).Results: All participants completed the study. Anxiety decreased significantly after intervention in all groups (P<0.05). The physician group achieved the greatest anxiety reduction, followed by ChatGPT and then Ernie Bot. At 3 hours pre-op, physician and ChatGPT groups maintained lower anxiety, while Ernie Bot showed a non-significant rebound.Postoperatively, all groups had significantly lower anxiety than baseline. ChatGPT excelled in empathy, readability, and detail, and elicited twice as many patient questions. Satisfaction was high in both the physician and ChatGPT groups. Ernie Bot's responses, though safe and accurate, were conservative and less detailed, leading to fewer inquiries and lower satisfaction.Postoperative pain was lowest in the physician group, followed by ChatGPT (P<0.05).Conclusions: AI-assisted education, particularly via ChatGPT, can effectively reduce preoperative anxiety and improve patient engagement, though not to the level of physician-led education. Ernie Bot showed modest benefits. Further refinement of AI may enhance its role as a supplemental educational tool.

Keywords: preoperative anxiety, Urolithiasis, Patient Education, artificial intelligence, ChatGPT, Ernie Bot

Received: 11 Dec 2024; Accepted: 01 May 2025.

Copyright: © 2025 Zhang, Wang, Zeng, Hong, Feng, Lu, Su, Tong and Xiao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Yang Xiao, Dongguan Hospital of Traditional Chinese Medicine, Dongguan, Guangdong Province, China

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