Prevalence and demographics of 331 rare diseases and associated COVID-19-related mortality among 58 million individuals: a nationwide retrospective observational study [0.03%]
中国全国性回顾性观察研究：331种罕见病在5800多万人中的流行率和人口学特征以及与Covid-19相关死亡率
Johan H Thygesen,Huayu Zhang,Hanane Issa et al.
Johan H Thygesen et al.
Background: The Global Burden of Disease Study has provided key evidence to inform clinicians, researchers, and policy makers across common diseases, but no similar effort with a single-study design exists for hundreds of...
Observational Study
The Lancet. Digital health. 2025 Feb;7(2):e145-e156. DOI:10.1016/S2589-7500(24)00253-X 2025
Diagnoses supported by a computerised diagnostic decision support system versus conventional diagnoses in emergency patients (DDX-BRO): a multicentre, multiple-period, double-blind, cluster-randomised, crossover superiority trial [0.03%]
基于计算机的诊断决策支持系统与传统方法在急诊患者中的诊断效果比较（DDX-BRO）：多中心、多时段、双盲、分组随机交叉非劣效性试验
Wolf E Hautz,Thimo Marcin,Stefanie C Hautz et al.
Wolf E Hautz et al.
Background: Diagnostic error is a frequent and clinically relevant health-care problem. Whether computerised diagnostic decision support systems (CDDSSs) improve diagnoses is controversial, and prospective randomised tria...
Randomized Controlled Trial
The Lancet. Digital health. 2025 Feb;7(2):e136-e144. DOI:10.1016/S2589-7500(24)00250-4 2025
Harnessing temporal patterns in administrative patient data to predict risk of emergency hospital admission [0.03%]
利用管理型患者数据中的时间模式预测急诊住院风险
Benjamin Post,Roman Klapaukh,Stephen J Brett et al.
Benjamin Post et al.
Background: Unplanned hospital admissions are associated with worse patient outcomes and cause strain on health systems worldwide. Primary care electronic health records (EHRs) have successfully been used to create predic...
Observational Study
The Lancet. Digital health. 2025 Feb;7(2):e124-e135. DOI:10.1016/S2589-7500(24)00254-1 2025
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study [0.03%]
基于人工智能的床旁心脏超声心动图对未被充分认识的心肌病检测的多中心研究
Evangelos K Oikonomou,Akhil Vaid,Gregory Holste et al.
Evangelos K Oikonomou et al.
Background: Point-of-care ultrasonography (POCUS) enables cardiac imaging at the bedside and in communities but is limited by abbreviated protocols and variation in quality. We aimed to develop and test artificial intelli...
Multicenter Study
The Lancet. Digital health. 2025 Feb;7(2):e113-e123. DOI:10.1016/S2589-7500(24)00249-8 2025
Thank you to The Lancet Digital Health's statistical and peer reviewers in 2024 [0.03%]
感谢《柳叶刀数字健康》2024年的统计和同行评审专家
The Lancet Digital Health Editors
The Lancet Digital Health Editors
AI for medical diagnosis: does a single negative trial mean it is ineffective? [0.03%]
人工智能医学诊断：单一阴性试验结果意味着其无效吗？
Olga Kostopoulou,Brendan Delaney
Olga Kostopoulou
Prediction of emergency admissions: trade-offs between model simplicity and performance [0.03%]
简易性和性能间的权衡预测急诊住院病人
Shishir Rao,Kazem Rahimi
Shishir Rao
The Lancet Digital Health
The Lancet Digital Health
Clinical trials for implantable neural prostheses: understanding the ethical and technical requirements [0.03%]
植入式神经假体临床试验的伦理及技术要求透析
Marcello Ienca,Giacomo Valle,Stanisa Raspopovic
Marcello Ienca
Neuroprosthetics research has entered a stage in which animal models and proof-of-concept studies are translated into clinical applications, often combining implants with artificial intelligence techniques. This new phase raises the questio...