Clinical predictive artificial intelligence evaluation: A narrative review of trial designs and practical considerations [0.03%]
临床预测型人工智能评估：试验设计及实际操作考量的叙述性回顾
Maxime Fosset,Joris Pensier,Boris Jung et al.
Maxime Fosset et al.
Artificial intelligence (AI) predictive models demonstrate potential for transforming clinical decision-making across medicine. However, conventional randomized controlled trials (RCTs), the gold standard for evaluating medical intervention...
State of abdominal CT datasets: A critical review of bias, clinical relevance, and real-world applicability [0.03%]
腹部CT数据集的状态：偏差、临床相关性和现实世界适用性的批判性回顾
Saeide Danaei,Zahra Dehghanian,Elahe Meftah et al.
Saeide Danaei et al.
This review systematically searched publicly available abdominal CT datasets and critically evaluates suitability for artificial intelligence (AI) applications in clinical settings. We examined 45 publicly available abdominal CT datasets (4...
Inclusive mobile brain-body imaging achieves equivalent EEG data quality across racial groups [0.03%]
包容性移动脑体成像技术实现在不同种族群体中EEG数据质量的均等化
Sodiq Fakorede,Ke Liao,KathleenMae Rogers et al.
Sodiq Fakorede et al.
Electroencephalography (EEG) research systematically excludes participants with textured hair, limiting generalizability. While inclusive hardware offers a solution, it remains unvalidated in dynamic settings. This study bridges this ecolog...
Cardiac parameter estimation from electrocardiograms based on inversion of physical simulator behavior [0.03%]
基于物理仿真器行为反转的ECG心脏参数估计方法研究
Ryo Nishikimi,Yoshifumi Shiraki,Shingo Tsukada et al.
Ryo Nishikimi et al.
Electrocardiograms (ECGs) are used in clinical medicine because their waveforms provide rich information reflecting heart states. It is believed that a specialist with extensive training can identify representative abnormalities and their p...
CAMI-DM: Development and validation of a multi-algorithm model for in-hospital mortality risk prediction in diabetic patients with acute myocardial infarction - The China acute myocardial infarction registry [0.03%]
基于中国急性心肌梗死注册登记的糖尿病合并急性心肌梗死住院患者死亡风险预测模型的建立及验证
Zuoxiang Wang,Zheng Yin,Junxing Lv et al.
Zuoxiang Wang et al.
Patients with diabetes constitute a substantial proportion of those with acute myocardial infarction (AMI) and exhibit distinct pathophysiological characteristics. However, existing guideline-recommended traditional and generic risk predict...
Admission photoplethysmography-based mortality prediction in hospitalized Ugandan children with suspected or confirmed infection: A feasibility study [0.03%]
基于 admission 光体积描记法的乌干达住院感染疑似或确诊病例儿童死亡率预测：一项可行性研究
Mahan Rahimi,Matthew O Wiens,Jerome Kabakyenga et al.
Mahan Rahimi et al.
Sepsis remains a major cause of preventable pediatric hospital deaths in developing countries, with progress hindered by the lack of effective risk identification tools. Early detection of children at highest risk upon hospital admission is...
Prediction tools to prioritise hospitalised adult patients at risk of drug related problems: An umbrella review [0.03%]
预测工具的优先顺序，以确定住院成人患者出现药物相关问题的风险：伞式回顾
Daria S Gutteridge,Dona Babu,Jacquelina Stasinopoulos et al.
Daria S Gutteridge et al.
Risk prediction tools assist pharmacists to identify and prioritise hospitalised patients at risk of drug-related problems (DRPs) requiring clinical review. This umbrella review identifies existing risk prediction tools, summarises their pe...
Deep learning-based physical exercise assessment of older adults using single-camera videos [0.03%]
基于深度学习的单摄像头老年人运动评估方法
Vayalet Stefanova,Evelien Maeyens,Jeroen Brughmans et al.
Vayalet Stefanova et al.
Regular physical activity preserves functional independence in older adults, yet care-home residents often miss out because personalized supervision is scarce. Autonomous, technology-supported exercise platforms could deliver such guidance ...
Social media use duration and epigenetic aging among U.S. adults in the MIDUS refresher study [0.03%]
美国中年人纵向研究(MIDUS)的随访调查中社交媒体使用时长与表观遗传学衰老的关系
Mariana Rodrigues,Jemar R Bather,Alisha A Crump et al.
Mariana Rodrigues et al.
Social media platforms are central to daily social interaction, with emerging evidence linking higher engagement to adverse outcomes, including increased stress, sleep disturbance, and depressive symptoms. However, whether these digital exp...
Barriers, adoption patterns, and determinants of artificial intelligence use among health sciences students in Palestine [0.03%]
阻碍、采纳模式和决定人工智能在巴勒斯坦健康科学学生中使用的因素
Nesreen Alqaissi,Mohammad Qtait
Nesreen Alqaissi
Artificial intelligence (AI) is increasingly integrated into healthcare education worldwide, yet disparities in access, training, and institutional readiness remain evident, particularly in low-resource and conflict-affected settings. Under...