The role of AI in prostate cancer care: Assessing the role of chatbots versus urologists in patient communication and empathy.

IF 0.7 Q4 UROLOGY & NEPHROLOGY
Loris Cacciatore, Antonio Minore, Pierangelo Contessa, Gianluigi Raso, Antonio Rosario Iannello, Rocco Papalia, Francesco Esperto
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引用次数: 0

Abstract

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: A total of 600 responses were evaluated. Accuracy and completeness scores were comparable between CB and URO responses, according to experts' evaluations (p = 0.45 and p = 0.12). However, CB responses scored significantly higher in completeness and empathy (both p < 0.001) for non-medical evaluators. Moreover, a statistically significant preference for overall CB-generated responses over those from urologists, was demonstrated (p < 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.

人工智能在前列腺癌治疗中的作用:评估聊天机器人与泌尿科医生在患者沟通和移情方面的作用。
目的:迄今为止,人工智能(AI)在医疗保健中的集成已经迅速扩展,为患者教育和沟通提供了新的工具。在前列腺癌(PCa)中,信息需求高且情绪敏感,人工智能驱动的聊天机器人(CB)可能会提高患者的参与度。本研究旨在比较泌尿科医师与泌尿科医师(URO)对常见前列腺癌相关询问的反应表现和感知质量。方法:我们对20个常见PCa问题进行了横断面分析。响应由两个基于人工智能的CB和四个认证的URO在模拟临床信息环境中生成,没有直接的患者互动。专家评审员首先评估每个答复的医学准确性和完整性。然后,五名非医学盲评者使用李克特量表对回答进行评分,以评估完整性(1-5)、同理心(使用杰斐逊量表的五项改编)和总体偏好。结果:共评估了600份问卷。根据专家评估,CB和URO反应的准确性和完整性评分具有可比性(p = 0.45和p = 0.12)。结论:在完整性和共情性方面,CB反应的准确性与URO相同,但在完整性和共情性方面,CB反应的准确性明显高于URO。这些结果表明,基于人工智能的CB可以作为增强患者沟通和满意度的有效工具,并且可能是泌尿科医生主导的临床护理的有价值的补充。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Urologia Journal
Urologia Journal UROLOGY & NEPHROLOGY-
CiteScore
0.60
自引率
12.50%
发文量
66
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