Building safer clinical agents: the case for residency-level benchmarks in medical artificial intelligence [0.03%]
构建更安全的临床代理：医学人工智能中居留水平基准的作用
Kameron C Black,Bryan J Bunning,Yixing Jiang et al.
Kameron C Black et al.
Need for ethical use of artificial intelligence in humanitarian data collection to address aid shortfalls [0.03%]
人工智能在人道主义数据采集中的伦理使用以解决援助缺口问题的必要性
Shreenik Kundu,Ayla Gerk,Duha Shellah et al.
Shreenik Kundu et al.
Power, governance, and accountability in humanitarian artificial intelligence [0.03%]
人道主义人工智能的权力、治理和问责制
Patrick Vinck,Phuong N Pham
Patrick Vinck
Recommendations for a national electronic health record in Spain: a Delphi study [0.03%]
西班牙全国电子健康记录推荐体系：Delphi研究
Jordi Piera-Jiménez,Isaac Cano,Gerard Carot-Sans et al.
Jordi Piera-Jiménez et al.
Despite decades of health-care digitalisation efforts worldwide, health information systems remain highly fragmented, with multiple vendor-specific silos that communicate through incomplete solutions. This fragmentation prevents the creatio...
The Lancet Digital Health
The Lancet Digital Health
Bioengineered acellular tissue engineered vessels versus autogenous fistulae for haemodialysis access: a multicentre, randomised, controlled, phase 3 trial [0.03%]
用于血液透析通路的生物工程无细胞组织工程技术血管与自体动静脉内瘘的多中心、随机、对照、III期临床试验
Mohamad A Hussain,Ernest E Moore,Ruben Villa et al.
Mohamad A Hussain et al.
Background: Autogenous arteriovenous fistulas (AVFs) are considered the gold standard for haemodialysis access; however, successful fistula maturation is often not achieved. Females and patients with comorbidities such as...
Michael Allon
Michael Allon
Data as a relation: development of a blockchain-based platform for Indigenous data sovereignty [0.03%]
基于区块链的土著数据主权平台的发展
Tim K Mackey,Alec J Calac,Tiana McMann et al.
Tim K Mackey et al.
Prediction of structural glaucoma progression from baseline fundus photographs using deep learning: a retrospective multicentre study [0.03%]
基于深度学习的眼底照片预测青光眼结构恶化：一项回顾性多中心研究
Ruben Hemelings,Damon W Wong,Jacqueline Chua et al.
Ruben Hemelings et al.
Background: Identifying patients with glaucoma who are at risk of rapid disease progression is crucial to preventing vision loss. We aimed to develop and externally validate G-PROG, a deep learning model that predicts 2-5...
An automated speech measure for Huntington's disease: how can it take the field forward? [0.03%]
一种自动化的亨廷顿舞蹈病语音测量方法：如何推动该领域的发展？
Anne E Rosser,Madeleine M Lowery
Anne E Rosser