PulseExploreJournal ClubResearchersJournals
Instagram
HomeJournal ClubExplore
Synapse
⌘+K
Synapse
September 17, 2026BMC SurgeryOpen Access

Expert evaluation of large language models for patient counseling during recovery after gynecologic and obstetric surgery: a blinded comparative cross-sectional study

View Full Paper
Ask AI
Bookmark
Share

Authors

MBMücahit Furkan BalcıSOSamican OzmenAAArif Onur Atay

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Balcı et al. (2026) studied this question.

synapsesocial.com/papers/6aabb7a65f706d05830e6db5https://doi.org/10.1186/s12893-026-04197-0
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Evaluation of ChatGPT and Gemini in Answering Patient Questions after Gynecologic Surgery2026 · 1 citations
  2. 2Artificial Intelligence in Postoperative Care: Assessing Large Language Models for Patient Recommendations in Plastic Surgery2024 · 31 citations
  3. 3Clinical Safety and Reliability of Large Language Models in Answering Hemorrhoid-Related Patient Questions: A Comparative Study of ChatGPT, Gemini, and DeepSeek2026 · 1 citations
  4. 4A Comparative Analysis of Three Large Language Models in Answering Patient Queries on Otolaryngology Emergencies2025
  5. 5Evaluating large language models in patient education: a comparative analysis addressing frequently asked questions in peri-acetabular osteotomy2026