OBJECTIVE: To date, the integration of artificial intelligence (AI) in healthcare has expanded rapidly, offering new tools for patient education and communication. In prostate cancer (PCa), where information needs are high and emotionally sensitive, AI-driven chatbots (CB) may enhance patient engagement. This study aims to compare the performance and perceived quality of responses from CB versus urologists (URO) to common PCa-related inquiries. METHODS: We conducted a cross-sectional analysis of 20 frequently asked PCa general questions. Responses were generated by two AI-based CB and four certified URO in a simulated clinical messaging setting, without direct patient interaction. Expert reviewers first assessed each response for medical accuracy and completeness. Then, five blinded non-medical evaluators rated the responses using Likert scales to evaluate completeness (1-5), empathy (using a five-item adaptation of the Jefferson Scale), and overall preference. RESULTS: < 0.001). CONCLUSIONS: While CB responses were as accurate as those from URO, they outperformed in completeness and empathy. These results suggest that AI-based CB could serve as effective tools in enhancing patient communication and satisfaction and may be a valuable complement to urologist-led care in clinical practice.
Cacciatore et al. (Mon,) studied this question.