癌症患者放射治疗中数字支持与人工智能应用态度表1
本数据集为154名接受放射治疗的癌症患者对数字支持和人工智能利用、接受度及态度的问卷调查表格数据。

基本信息
资源简介
癌症患者放射治疗中数字支持与人工智能应用态度表1
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 30.31 KB,主题涵盖 cancer、digital support tools、artificial intelligence、cancer care、radiation therapy,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Table 1_Digital support and artificial intelligence in cancer patients undergoing radiation therapy: patient utilization, acceptance and attitudes.docx》。配套论文《Digital Therapeutic (Mika) Targeting Distress in Patients With Cancer: Results From a Nationwide Waitlist Randomized Controlled Trial》发表于 Journal of Medical Internet Research(2024),DOI:10.2196/51949。源站首次发布:2025-09-26。
【数据内容】
源站原始描述:BackgroundNew technologies, such as digital support tools or artificial intelligence (AI) in cancer diagnostics and treatment, offer new possibilities for cancer care. Evidence on patients’ attitudes towards new technologies within the context of cancer care is however very limited to date. We aimed to investigate utilization, acceptance and attitudes towards digital support tools and AI within the context of cancer treatment and to identify associated patient-related factors. MethodsThis explor…
【数据结构与技术规格】
文件数 1 个,合计 30.31 KB。Table 1_Digital support and artificial intelligence in cancer patients undergoing radiation therapy: patient utilization, acceptance and attitudes.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,30.31 KB。数据集 DOI:10.3389/fonc.2025.1546221.s001。
【主题与分类】
源站学科分类:Oncology and Carcinogenesis not elsewhere classified。主题标签:cancer、digital support tools、artificial intelligence、cancer care、radiation therapy。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面:https://frontiersin.figshare.com/articles/dataset/Table_1_Digital_support_and_artificial_intelligence_in_cancer_patients_undergoing_radiation_therapy_patient_utilization_acceptance_and_attitudes_docx/30215998
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Springer, Franziska; Hambsch, Peter Kurt; Mehnert-Theuerkauf, Anja; Nicolay, Nils Henrik (2025). Table 1_Digital support and artificial intelligence in cancer patients undergoing radiation therapy: patient utilization, acceptance and attitudes.docx. Frontiers. Dataset
下载信息
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使用方式
数据集获取(Figshare)
- 源站标题:Table 1_Digital support and artificial intelligence in cancer patients undergoing radiation therapy: patient utilization, acceptance and attitudes.docx
- DOI:10.3389/fonc.2025.1546221.s001
- 发布日期:2025-09-26
- 文件数:1 个
- 文件总体积:30.31 KB
- 源站页面:https://frontiersin.figshare.com/articles/dataset/Table_1_Digital_support_and_artificial_intelligence_in_cancer_patients_undergoing_radiation_therapy_patient_utilization_acceptance_and_attitudes_docx/30215998
命令行下载
curl -L -o "Table 1_Digital support and artificial intelligence in cancer patients undergoing radiation therapy: patient utilization, acceptance and attitudes.docx" "https://ndownloader.figshare.com/files/58280080"
文件清单
Table 1_Digital support and artificial intelligence in cancer patients undergoing radiation therapy: patient utilization, acceptance and attitudes.docx(30.31 KB)
文件总体积 30.31 KB(源站 API 实测)。
数据说明
BackgroundNew technologies, such as digital support tools or artificial intelligence (AI) in cancer diagnostics and treatment, offer new possibilities for cancer care. Evidence on patients’ attitudes towards new technologies within the context of cancer care is however very limited to date. We aimed to investigate utilization, acceptance and attitudes towards digital support tools and AI within the context of cancer treatment and to identify associated patient-related factors.
MethodsThis exploratory observational cross-sectional study assessed adult cancer patients undergoing radiation therapy with a set of validated questionnaires in addition to newly developed items for this study on acceptance and attitudes towards new technologies within cancer care. Utilization, acceptance and attitudes towards new technologies were assessed descriptively and the impact of associated factors was analyzed using logistic regression models and Analysis of Variance (ANOVA).
ResultsIn total, 154 cancer patients were included in our study with a mean age of 63.7 years, 51% were male. In general, patients felt inadequately informed about new technologies, with only 12% feeling informed about digital support tools and 16% feeling informed about AI within their cancer care. One in two patients had used digital support (e.g. websites, apps, wearables). The majority perceived digital support tools as beneficial for all ages (65%) and were open towards the use of AI within their healthcare (79%). Nevertheless, patients reported a strong preference for in-person care, and some patients indicated concerns about possible mistakes by AI (27%). Trust in new technologies revealed a mixed pattern, whereby older patients, those with lower socioeconomic resources, and limited digital health literacy (DHL), were less likely to use digital support (age: p = 0.001, socioeconomic: p = 0.002, DHL: p While patients are generally open to the use of AI in healthcare, their concerns underscore the need for future research into the physician’s role in ensuring its responsible, safe, and patient-centered utilization. Strengthening DHL, improving information provision, and reducing access barriers for vul
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fonc.2025.1546221.s001(source: https://frontiersin.figshare.com/articles/dataset/Table_1_Digital_support_and_artificial_intelligence_in_cancer_patients_undergoing_radiation_therapy_patient_utilization_acceptance_and_attitudes_docx/30215998)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
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