Effectiveness of home-based cardiac rehabilitation interventions delivered via mHealth technologies: a systematic review and meta-analysis [0.03%]
基于移动健康技术的居家心脏康复干预的有效性：系统评价和荟萃分析
Leah Li,Mickaël Ringeval,Gerit Wagner et al.
Leah Li et al.
Background: Centre-based cardiac rehabilitation (CBCR) is underused due to low referral rates, accessibility barriers, and socioeconomic constraints. mHealth technologies have the potential to address some of these challe...
Utilising routinely collected clinical data through time series deep learning to improve identification of bacterial bloodstream infections: a retrospective cohort study [0.03%]
通过时间序列深度学习利用常规收集的临床数据以改善细菌血流感染的识别：一项回顾性队列研究
Damien K Ming,Vasin Vasikasin,Timothy M Rawson et al.
Damien K Ming et al.
Background: Blood cultures are the gold standard for diagnosing bacterial bloodstream infections, but test results are only available 24-48 h after sampling. We aimed to develop and evaluate models using health-care data ...
Proteomic organ-specific ageing signatures and 20-year risk of age-related diseases: the Whitehall II observational cohort study [0.03%]
蛋白质组器官特异性衰老特征和20年衰老相关疾病的风险：白厅II观察队列研究
Mika Kivimäki,Philipp Frank,Jaana Pentti et al.
Mika Kivimäki et al.
Background: Biological ageing is known to vary among different organs within an individual, but the extent to which advanced ageing of specific organs increases the risk of age-related diseases in the same and other organ...
Observational Study
The Lancet. Digital health. 2025 Mar;7(3):e195-e204. DOI:10.1016/j.landig.2025.01.006 2025
Artificial intelligence-enhanced electrocardiography for the identification of a sex-related cardiovascular risk continuum: a retrospective cohort study [0.03%]
增强心电图的人工智能在识别心血管风险连续谱中的性别差异上的应用：一项回顾性队列研究
Arunashis Sau,Ewa Sieliwonczyk,Konstantinos Patlatzoglou et al.
Arunashis Sau et al.
Background: Females are typically underserved in cardiovascular medicine. The use of sex as a dichotomous variable for risk stratification fails to capture the heterogeneity of risk within each sex. We aimed to develop an...
Passive sensing at scale to transform understanding of poor mental health [0.03%]
大规模被动感知以转变对不良精神健康的理解
Aiden Doherty,Sandra Bucci,Alexandra Kenny et al.
Aiden Doherty et al.
Unmasking hidden risk: an AI approach to improve cardiovascular risk assessment in females [0.03%]
揭开隐藏的风险：一种改进女性心血管风险评估的人工智能方法
Demilade A Adedinsewo,Chrisandra L Shufelt,Rickey E Carter
Demilade A Adedinsewo
The Lancet Digital Health
The Lancet Digital Health
Daniela Boraschi,Mihaela van der Schaar,Alessia Costa et al.
Daniela Boraschi et al.
Nehmat Houssami,M Luke Marinovich
Nehmat Houssami
Screening performance and characteristics of breast cancer detected in the Mammography Screening with Artificial Intelligence trial (MASAI): a randomised, controlled, parallel-group, non-inferiority, single-blinded, screening accuracy study [0.03%]
Mammography筛查结合人工智能检出乳腺癌的筛查性能及特征：一项随机对照、平行组、非劣效性、单盲筛查准确性研究（MASAI试验）
Veronica Hernström,Viktoria Josefsson,Hanna Sartor et al.
Veronica Hernström et al.
Background: Emerging evidence suggests that artificial intelligence (AI) can increase cancer detection in mammography screening while reducing screen-reading workload, but further understanding of the clinical impact is n...