Comparative performance of artificial intelligence chatbots in patient education for robot-assisted radical prostatectomy: quality, transparency and readability

Reliability and readability of AI chatbot responses to patient questions about robot-assisted radical cystectomy

Guideline-based evaluation of large language models for patient counselling before robot-assisted radical prostatectomy: accuracy, safety, and readability

Quality, transparency, and readability of AI chatbot responses for patient counseling in robot-assisted colorectal cancer resection: a cross-sectional evaluation

AI chatbots furnish moderately good-quality counseling for RACR, yet persistent gaps in transparency and readability render them inadequate as standalone patient education tools.

Comparative quality, accuracy, and readability of large language model responses to patient questions about robotic-assisted total knee arthroplasty.

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.

Guideline-Based Evaluation of Five Generative Artificial Intelligence Chatbot Platforms for Clinician-Oriented Questions on Open Temporomandibular Joint Surgery.

The findings describe informational quality, not clinical safety or decision-making, and support specialist verification before clinical use, and support specialist verification before clinical use.

Evaluation of artificial intelligence chatbots in informing patients about CBCT: A comparative study

The readability of all AI systems was below the recommended level for patient education but require expert validation, and Gemini and DeepSeek produced more accurate and clearer responses.