Empowering Cancer Patients: A Scoping Review on Gamified Approaches To Health Literacy for Self-Care [0.03%]
赋能癌症患者：游戏化方法提高自我护理健康素养的系统评价
Filipe Cerqueira,Marta Campos Ferreira,Maria Joana Campos et al.
Filipe Cerqueira et al.
To address the challenges of self-care in oncology, gamification emerges as an innovative strategy to enhance health literacy and self-care among individuals with oncological disease. This study aims to explore and map how gamification can ...
How Well Do ChatGPT and Claude Perform in Study Selection for Systematic Review in Obstetrics [0.03%]
ChatGPT和Claude在 obstetrics 领域系统评价研究筛选中的表现如何？
Suppachai Insuk,Kansak Boonpattharatthiti,Chimbun Booncharoen et al.
Suppachai Insuk et al.
The use of generative AI in systematic review workflows has gained attention for enhancing study selection efficiency. However, evidence on its screening performance remains inconclusive, and direct comparisons between different generative ...
Smartphone-Based Digital Health Interventions: A Comprehensive Systematic Review of Efficacy for Cardiovascular and Cerebrovascular Outcomes [0.03%]
基于智能手机的数字健康干预措施：对心血管和脑血管结局疗效的全面系统性回顾
Swathi Suresh,Sujas Bhardwaj,Hansel Chris Rodrigues et al.
Swathi Suresh et al.
Digital health interventions (DHIs) have the potential to transform the management of cardiovascular disease (CVD) and cerebrovascular disease (CeVD) by addressing their risk factors, including hypertension, diabetes, obesity, dyslipidemia,...
Applying the Model for Assessing the Value of AI (MAS-AI) Framework To Organizational AI: A Case Study of Surgical Scheduling Assessment in Italy [0.03%]
意大利外科手术调度的AI价值评估案例研究MAS-AI框架的应用分析
Valentina Bellini,Francesco Calabrò,Elena Bignami et al.
Valentina Bellini et al.
This work aims to explore the transferability of the Model for Assessing the value of Artificial Intelligence in medical imaging (MAS-AI) in the Italian context through a case-study.We applied the MAS-AI, a model for assessing AI in healthc...
Symptom Recognition in Medical Conversations Via multi- Instance Learning and Prompt [0.03%]
基于多示例学习和提示的医疗对话症状识别
Hua Wang,Xue-Feng Bai,Xiu-Tao Cui et al.
Hua Wang et al.
With the widespread adoption of electronic health record (EHR) systems, there is a crucial need for automatic extraction of key symptom information from medical dialogue to support intelligent medical record generation. However, symptom rec...
Nurse Staffing Management in the Context of Emergency Departments and Seasonal Respiratory Diseases: An Artificial Intelligence and Discrete-Event Simulation Approach [0.03%]
基于人工智能和离散事件仿真的急诊科与季节性呼吸系统疾病流行背景下护理人力管理研究
Miguel Ortiz-Barrios,Llanos Cuenca,Sebastián Arias-Fonseca et al.
Miguel Ortiz-Barrios et al.
Emergency Departments (EDs) usually experience nursing shortages during Seasonal Respiratory Diseases (SRDs). As a result, patient waiting times for medical treatment increase with the consequent overcrowding, high intra-hospital infection ...
Automated Characterization of Sudden Cardiac Death Using Locality Preserving Projection and Fuzzy Entropy Based on Empirical Mode Decomposition from ECG Signals [0.03%]
基于经验模式分解的心电信号局部保持投影和模糊熵用于突发性心脏死亡的自动化表征
Manhong Shi,Yinuo Shi,Wenkang Zhou et al.
Manhong Shi et al.
The early prediction of sudden cardiac death (SCD) has garnered considerable global attention as a potentially life-saving intervention for at-risk individuals. While various strategies have been proposed, many are constrained by prediction...
An Exploratory Comparison of AI Models for Preoperative Anesthesia Planning: Assessing ChatGPT-4o, Claude 3.5 Sonnet, and ChatGPT-o1 in Clinical Scenario Analysis [0.03%]
探索性比较用于术前麻醉计划的AI模型：在临床场景分析中评估ChatGPT-4o、Claude 3.5 Sonnet和ChatGPT-o1
Bing Wang,Yue Tian,Xue Ting Wang
Bing Wang
This exploratory study examined the effectiveness of ChatGPT-4o, Claude 3.5 Sonnet, and ChatGPT-o1 in developing anesthesia plans for critical cases. Personalized anesthesia plans are essential for ensuring surgical safety and patient satis...
Fatma Nur Cicin,Irfan Cicin
Fatma Nur Cicin
The integration of mobile health (mHealth) technologies into decentralized clinical trials (DCTs) may represent a paradigm shift in oncology research, offering innovative solutions to longstanding challenges in clinical trial design and exe...
Implementation and Evaluation of an Offline RPA-Based Scheduling Visualization Tool for Radiotherapy Under Security Constraints [0.03%]
基于安全约束的放射治疗离线RPA调度可视化工具实现与评价
Takuya Ito,Ryuhei Takeo
Takuya Ito
Timely access to radiotherapy appointment information remains challenging in hospitals-including many in Japan-due to fragmented information systems and strict security policies restricting access to databases or application programming int...