Chatbot for the Return of Positive Genetic Screening Results for Hereditary Cancer Syndromes: Prompt Engineering Project [0.03%]
遗传性癌症综合征阳性基因筛查结果回归聊天机器人：提示工程项目
Emma Coen,Guilherme Del Fiol,Kimberly A Kaphingst et al.
Emma Coen et al.
The increasing demand for population-wide genomic screening and the limited availability of genetic counseling resources have created a pressing need for innovative service delivery models. Chatbots powered by large language models (LLMs) h...
Internet-Based Cognitive Behavioral Therapy Interventions for Caregivers of Patients With Cancer: Scoping Review [0.03%]
基于互联网的认知行为疗法干预措施在癌症患者照护者中的应用：综述研究
Chun Tong Shen,Jian Shi,Feng Xia Liu et al.
Chun Tong Shen et al.
Background: Cancer imposes significant physical and emotional distress not only on patients, but also on their caregivers. In recent years, there has been a growing focus on the mental and physical well-being of caregiver...
The Role of Online Support, Caregiving, and Gender in Preventative Cancer Genetic Testing Participation: Cross-Sectional Study From a National Study [0.03%]
线上支持、护理和性别在预防性癌症基因检测中的作用：来自全国调查的横断面研究
Lavlin Agrawal,Richelle Oakley DaSouza,Pavankumar Mulgund et al.
Lavlin Agrawal et al.
Background: Despite its potential to predict and detect early cancer risks, genetic testing remains underused by the public. This study, guided by the health belief model (HBM), examined key factors influencing an individ...
Digital Interventions and Mental Health Outcomes in Cancer Patients: A Systematic Review and Meta-Analysis [0.03%]
数字干预在癌症患者精神健康状况改善方面的效果：系统回顾和荟萃分析
Zixuan Wu,Feifei Luo,Siyuan Wang et al.
Zixuan Wu et al.
Background: Rising cancer rates have amplified psychiatric and psychosocial burdens, with 35-40% of patients exhibiting diagnosable psychiatric disorders. While Digital Mental Health Interventions (DMHIs) present potentia...
Supporting Medication Adherence in Pediatric Patients Undergoing Hematopoietic Stem Cell Transplant Using the BMT4me mHealth App: Mixed Methods Usability Study [0.03%]
使用BMT4me移动健康应用程序支持造血干细胞移植儿科患者的用药依从性：混合研究方法的可用性研究
Mariam Kochashvili,Parishma Guttoo,Emre Sezgin et al.
Mariam Kochashvili et al.
Background: Due to multifaceted outpatient regimens, children receiving hematopoietic stem cell transplants (HCTs) are at high risk of medication nonadherence, leading to life-threatening complications. Mobile health (mHe...
Leveraging Digital Twins for Stratification of Patients with Breast Cancer and Treatment Optimization in Geriatric Oncology: Multivariate Clustering Analysis [0.03%]
利用数字孪生对老年肿瘤学乳腺癌患者进行分层和治疗优化的多变量聚类分析
Pierre Heudel,Mashal Ahmed,Felix Renard et al.
Pierre Heudel et al.
Background: Defining optimal adjuvant therapeutic strategies for older adult patients with breast cancer remains a challenge, given that this population is often overlooked and underserved in clinical research and decisio...
Co-Designing a User-Centered Digital Health Tool for Supportive Care Needs of Patients With Brain Tumors and Their Caregivers: Interview Analysis [0.03%]
联合设计以用户为中心的数字健康工具，支持脑肿瘤患者及其照护者的支持性护理需求：访谈分析
Mahima Kalla,Ashleigh Bradford,Verena Schadewaldt et al.
Mahima Kalla et al.
Background: Brain tumors are characterized by the high burden of disease that profoundly impacts the quality of life in patients and their families. Digital health tools hold tremendous potential to enhance supportive car...
Evaluating an AI Chatbot "Prostate Cancer Info" for Providing Quality Prostate Cancer Screening Information: Cross-Sectional Study [0.03%]
评估AI聊天机器人“前列腺癌信息”提供高质量的前列腺癌筛查信息的能力：横断面研究
Otis L Owens,Michael S Leonard
Otis L Owens
Background: Generative artificial intelligence (AI) chatbots may be useful tools for supporting shared prostate cancer (PrCA) screening decisions, but the information produced by these tools sometimes lack quality or cred...
A Deep Learning-Enabled Workflow to Estimate Real-World Progression-Free Survival in Patients With Metastatic Breast Cancer: Study Using Deidentified Electronic Health Records [0.03%]
基于深度学习的估算转移性乳腺癌患者实际无进展生存期的工作流程：去标识电子健康记录研究
Gowtham Varma,Rohit Kumar Yenukoti,Praveen Kumar M et al.
Gowtham Varma et al.
Background: Progression-free survival (PFS) is a crucial endpoint in cancer drug research. Clinician-confirmed cancer progression, namely real-world PFS (rwPFS) in unstructured text (ie, clinical notes), serves as a reaso...
Application of Artificial Intelligence in Cardio-Oncology Imaging for Cancer Therapy-Related Cardiovascular Toxicity: Systematic Review [0.03%]
人工智能在心血管肿瘤影像中的应用以系统性评价癌症治疗相关的心血管毒副作用
Hayat Mushcab,Mohammed Al Ramis,Abdulrahman AlRujaib et al.
Hayat Mushcab et al.
Background: Artificial intelligence (AI) is a revolutionary tool yet to be fully integrated into several health care sectors, including medical imaging. AI can transform how medical imaging is conducted and interpreted, e...