The Effect of Interpersonal Psychotherapy on Psychosocial Problems Among Breast Cancer Patients: A Systematic Review [0.03%]
人际心理治疗对乳腺癌患者心理社会问题的影响：系统评价研究
Tuğba Şahin Tokatlıoğlu,Fahriye Oflaz
Tuğba Şahin Tokatlıoğlu
Objective: Breast cancer, one of the most prevalent cancers among women, not only results in significant physical changes but also causes considerable emotional distress and disruptions in social roles and relationships. ...
Development of Digital Literacy: Application of Artificial Intelligence in Education and Clinical Practice of Oncology Nurses [0.03%]
数字素养的培育——人工智能在护理教育及肿瘤专科临床实践中的应用
Nevena Šimunić,Nikolina Višnjić Junaković,Marko Skelin
Nevena Šimunić
Objectives: To synthesize current educational approaches to AI literacy in oncology nursing, identify key competency domains along with barriers and enablers, and offer clinically oriented recommendations for the safe and...
Exercise During or After Intravesical Therapy for Bladder Cancer: A Randomized Feasibility Trial [0.03%]
膀胱癌腔内治疗期间或之后的运动：一项随机可行性试验
Fernanda Z Arthuso,Adrian S Fairey,Normand G Boulé et al.
Fernanda Z Arthuso et al.
Objectives: About 75% of newly diagnosed bladder cancers are non-muscle invasive bladder cancer (NMIBC). NMIBC and its treatments affect patient functioning and quality of life. Exercise is feasible, safe, and beneficial ...
Artificial Intelligence in Pediatric Oncology Care: Pediatric Nurses' Perspectives and Future Implications [0.03%]
儿科护理人员视角下的儿童肿瘤医疗的人工智能及其未来展望
Sevil Çınar Özbay,Dilek Gelin,Selma Durmuş Sarıkahya
Sevil Çınar Özbay
Objectives: This study aimed to explore pediatric oncology nurses' perspectives on the integration of artificial intelligence (AI) into pediatric oncology care, focusing on its potential advantages, implementation challen...
Predictive Modeling of Cancer Information Overload and Screening Attitudes: A Cross-Sectional Study [0.03%]
癌症信息过载和筛查态度的预测建模：横断面研究
Nebıha Kenar,Funda Akduran
Nebıha Kenar
Objective: To explore the association between cancer information overload and attitudes toward cancer screening among internal medicine patients. Aims: ...
Ruminative Thoughts in Oncology Nursing: A Qualitative Inquiry into Their Nature, Effects, and Coping Strategies [0.03%]
肿瘤护理中的反刍性思维：对其性质、影响及应对策略的质性研究
Sinem Öcalan,Yeter Sinem Üzar-Özçetin
Sinem Öcalan
Objectives: The aim of this study was to explore the ruminative thoughts experienced by oncology nurses, examine their impact on both personal and professional life, and identify the coping strategies employed in the cont...
Chemo Chair Conversations: A Qualitative Study of How Life and Death Influence Oncology Nurses' Well-being and Professional Care [0.03%]
化疗椅对话：一项关于生命与死亡如何影响肿瘤科护士的身心健康及职业关怀的质性研究
Carolyn S Phillips,Sue E Morris,Cara C Young et al.
Carolyn S Phillips et al.
Objectives: Oncology nurses provide relational care with patients and families that require high levels of skill and empathy. This emotionally demanding work can lead to compassion fatigue, burnout, and unprocessed grief....
Developing and Validating a Prediction Model for the Severe Pain-Fatigue-Sleep Disturbance Symptom Cluster in Patients with Lung Cancer Following Chemotherapy: A Machine Learning Analysis [0.03%]
基于机器学习分析的肺癌化疗后严重疼痛-疲劳-睡眠障碍症状群预测模型的研制与验证
Liping Teng,Zhou Zhou,Yiting Yang et al.
Liping Teng et al.
Objectives: Pain-fatigue-sleep disturbance symptom (PFS) cluster is the most common symptom cluster in patients with lung cancer following chemotherapy, which significantly impacts their quality of life. This study aims t...
Toward Scalable Electromyography in Oncology: A Narrative Review of Normalization Challenges and Machine Learning Innovations [0.03%]
肿瘤学中肌电图的可扩展性研究：规范化挑战及机器学习创新的叙述性综述
Tania Karina Garcia-Vite,Achilleas Pavlou,Marios Avraamides et al.
Tania Karina Garcia-Vite et al.
Objectives: Electromyography (EMG) is increasingly applied in oncology to monitor neuromuscular impairment, treatment toxicities, and rehabilitation outcomes. However, reliance on maximal voluntary contraction (MVC) norma...
Refining Electronic Patient-Reported Outcomes in Immuno-Oncology: Reflections on the IePRO Model of Care [0.03%]
免疫肿瘤学中的电子患者报告结果的优化：基于IePRO护理模式的思考与感悟
Parth Aphale,Shashank Dokania,Himanshu Shekhar
Parth Aphale