Information sharing across institutions: Practices and barriers during public health emergencies in Ethiopia [0.03%]
埃塞俄比亚公共卫生紧急状态下的机构间信息共享：实践与障碍
Sileshi Demelash Sasie,Pien Van Zuylen,Getinet Ayano et al.
Sileshi Demelash Sasie et al.
Background: Rapid, integrated information exchange between stakeholders is critical for effective emergency preparedness and response. However, many low- and middle-income countries face barriers to seamless data sharing....
Predicting intubation for intensive care units patients: A deep learning approach to improve patient management [0.03%]
预测重症监护病房患者的插管：一种改善患者管理的深度学习方法
Ruixi Li,Zenglin Xu,Jing Xu et al.
Ruixi Li et al.
Objective: For patients in the Intensive Care Unit (ICU), the timing of intubation has a significant association with patients' outcomes. However, accurate prediction of the timing of intubation remains an unsolved challe...
Arie Hasman,John Mantas,Heimar F Marin
Arie Hasman
Missing patient registrations in the Dutch National Trauma Registry of Southwest Netherlands: Prevalence and epidemiology [0.03%]
荷兰西南部全国创伤登记册中缺失的患者注册：流行率和流行病学
Jan C van Ditshuizen,Tea A J van Voorden,N Haddo et al.
Jan C van Ditshuizen et al.
Introduction: Health care patient records have been digitalised the past twenty years, and registries have been automated. Missing registrations are common, and can result in selection bias. ...
Design and implementation of clinical decision support systems in mental health helpline Services: A systematic review [0.03%]
心理健康热线服务中临床决策支持系统的设计与实现：系统综述研究
Yueming Gu,Amirhossein Eslami Andargoli,Jessica L Mackelprang et al.
Yueming Gu et al.
Background: Clinical Decision Support Systems (CDSSs) are electronic systems used to conduct assessments based on patient characteristics and to offer treatment recommendations for clinicians to consider during their deci...
Machine learning methods in predicting the risk of malignant transformation of oral potentially malignant disorders: A systematic review [0.03%]
机器学习方法在预测口腔潜在恶性障碍恶性转化风险中的应用：系统回顾
Simran Uppal,Priyanshu Kumar Shrivastava,Atiya Khan et al.
Simran Uppal et al.
Background: Oral Potentially Malignant Disorders (OPMDs) refer to a heterogenous group of clinical presentations with heightened rate of malignant transformation. Identification of risk levels in OPMDs is crucial to deter...
Characteristics analysis of Internet pharmacy consultation services for children in southwest China during the post-epidemic era: A cross-sectional study [0.03%]
我国西南地区后疫情时代儿童线上药学服务咨询特点分析——一项横断面调查研究
Qiang Wen,Bin Yang,Xiuling Wang et al.
Qiang Wen et al.
Aim: This study aims to examine the features of online pediatric pharmacy consultations in Southwest China, an area with limited medical resources during the post-epidemic era and to explore the factors affecting the dial...
Quality assessment of health science-related short videos on TikTok: A scoping review [0.03%]
一项关于抖音上健康科学相关短视频质量的综述研究
Bingyan Li,Min Liu,Jia Liu et al.
Bingyan Li et al.
Objective: The aims of this review are to clarify the current state of research in terms of assessment tools and assessors of the quality of health science-related short videos on TikTok, to identify limitations in existi...
On relevant features for the recurrence prediction of urothelial carcinoma of the bladder [0.03%]
膀胱尿路上皮癌复发预测的关联特征分析
Louisa Schwarz,Dominik Sobania,Franz Rothlauf
Louisa Schwarz
Background: Urothelial bladder cancer (UBC) is characterized by a high recurrence rate, which is predicted by scoring systems. However, recent studies show the superiority of Machine Learning (ML) models. Nevertheless, th...
Black box no more: A cross-sectional multi-disciplinary survey for exploring governance and guiding adoption of AI in medical imaging and radiotherapy in the UK [0.03%]
不再神秘的黑盒：一项针对英国医疗影像和放射治疗中AI治理及采用情况的跨学科横断面调查
Nikolaos Stogiannos,Lia Litosseliti,Tracy O&#x;Regan et al.
Nikolaos Stogiannos et al.
Background: Medical Imaging and radiotherapy (MIRT) are at the forefront of artificial intelligence applications. The exponential increase of these applications has made governance frameworks necessary to uphold safe and ...