Quality, transparency, and readability of AI chatbot responses for patient counseling in robot-assisted colorectal cancer resection: a cross-sectional evaluation
Aug 2026· Journal of Robotic Surgery· Vol 20· 0 citations· 54 references
Medicine
TL;DR
AI chatbots furnish moderately good-quality counseling for RACR, yet persistent gaps in transparency and readability render them inadequate as standalone patient education tools.
Although some models provided comparatively stronger patient education, none consistently produced sufficiently accessible information on robot-assisted radical prostatectomy, and these tools may supplement, but should not replace, individualized counseling by urologists and multidisciplinary prostate cancer teams.
Yang Liu, Rong-Kang Li, Peng Yu et al.· Journal of Robotic Surgery· 0 citations
Although Gemini 3 and DeepSeek demonstrated greater readability in selected comparisons, median responses across all models remained above recommended patient-education reading levels, and LLM-generated responses should be regarded as supplementary rather than standalone sources of patient information regarding RA-TKA.
U. Kolaç, Mazlum Veysel Sili, Orhan Mete Karademir et al.· Knee (Oxford)· 0 citations
Highlights What are the main findings? Instrument-based information-quality scores differed among the tested chatbot configurations, but these differences do not establish greater factual accuracy, guideline concordance, or clinical superiority; the full-set DISCERN comparison was limited because most questions were no...
Jian-Yu Chen, Zai-Han Zhao, Shang-Yu Han et al.· Healthcare· 0 citations
LLMs can support communication and education following spine surgery when used with structured prompting when used with structured prompting and ChatGPT and Claude showed the highest correctness and completeness, particularly for practitioner-directed answers.
S. Wegmann, T. Rosenkranz, Philipp Egenolf et al.· European spine journal· 0 citations
Patients recovering from lumbar fusion increasingly seek guidance from large language model (LLM) chatbots when their surgeon is unavailable, but the accuracy, completeness, and safety-related content of such responses have not been compared across models for the postoperative period.
To compare the accuracy...
Ahmet Kürşat Kara, Ozan Işık· Frontiers in Surgery· 0 citations
Background Parents and caregivers increasingly use generative artificial intelligence chatbots for child health information. Pediatric vitamin D deficiency is a clinically relevant topic because advice about supplementation, testing, rickets, high-risk children, toxicity, and emergency symptoms can influence caregiver...
Ping Shi, Tian Zhou, Qiao Nie et al.· Frontiers in Pediatrics· 0 citations
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