文献学习 | 癌症患者对基于人工智能的情绪困扰评估工具的感知、接受和使用:范围综述

Cancer Patients’ Perception, Acceptance, and Utilization of Artificial Intelligence-Based Emotional Distress Assessment Tools: A Scoping Review 

癌症患者对基于人工智能的情绪困扰评估工具的感知、接受和使用：范围综述

acceptance; artificial intelligence; cancer; distress; mental health; oncology; perception; psycho‐oncology; screening; utilization. 

接受；人工智能；癌症；困扰；心理健康；肿瘤；感知；肿瘤心理学；筛查；使用

Emotional distress in cancer patients and survivors impacts overall well-being and quality of life. Several barriers to adequate screening have been identified and are currently being addressed by artificial intelligence (AI)-based tools. However, there is a critical need to explore cancer patients’ and survivors’ perspectives on these new technologies. This scoping review aims to synthesize the available evidence on their perception, acceptance, and utilization of AI-based voice, speech semantics, and facial expression (AIVSFE) tools for emotional distress screening.

癌症患者和幸存者的情绪困扰会影响整体幸福感和生活质量。目前，基于人工智能（AI）的工具正在解决妨碍充分筛查的几个障碍。然而，迫切需要探索癌症患者和幸存者对这些新技术的看法。这篇综述的目的是综合他们对基于人工智能的语音、语音语义和面部表情（AIVSFE）工具进行情绪困扰筛查的感知、接受和利用的现有证据。

A systematic search was conducted in Scopus, Web of Science, PubMed Central, Cochrane Central Register of Controlled Trials (CENTRAL), PsycINFO, and Epistemonikos on July 1, 2025. Empirical studies published from January 1, 2019, to the search date that focused on adult cancer patients at any stage of treatment or survivorship and their perception, acceptance, or use of AIVSFE tools were retrieved. Participant sociodemographics, AI-based distress screening modalities, technological frameworks, measurement tools, outcomes, and the studies’ methodological quality were analyzed.

2025 年 7 月 1 日，我们在 Scopus、Web of Science、PubMed Central、Cochrane 对照试验中心注册库（CENTRAL）、PsycINFO 和 Epistemonikos 数据库中进行了系统检索。检索了 2019 年 1 月 1 日至检索日期间发表的关于任何治疗阶段或生存期的成年癌症患者及其对人工智能虚拟支持和咨询工具（AIVSFE 工具）的认知、接受或使用情况的实证研究。对参与者的社会人口学特征、基于人工智能的心理困扰筛查方式、技术框架、测量工具、结果以及研究的方法学质量进行了分析。

Three studies met the eligibility criteria. They included a combined sample of 316 cancer patients and survivors with heterogeneous clinical characteristics. Two studies utilized speech semantics technologies, while one utilized facial expression technology. The results show high acceptance, satisfaction, and usefulness rates (70%-98%), suggesting AIVSFE tools could address barriers associated with traditional distress screening.

三项研究符合入选标准。他们包括316名癌症患者和具有不同临床特征的幸存者的联合样本。两项研究使用语音语义技术，一项研究使用面部表情技术。结果显示了较高的接受度、满意度和有效性（70%-98%），表明AIVSFE工具可以解决传统心理困扰筛查相关的障碍。

The findings indicate a favorable view of AIVSFE tools for detecting distress. Future studies should prioritize developing standardized evaluation frameworks, diversifying participant demographics, and addressing broader usability and ethical concerns to ensure equitable adoption of these technologies.

研究结果表明，人们对于 AIVSFE 工具在检测心理困扰方面的看法较为积极。未来的研究应优先考虑制定标准化的评估框架，使参与者的人口统计学特征多样化，并解决更广泛的可用性和伦理问题，以确保这些技术得到公平的采用。