A novel statistical framework for quantifying risks and benefits of AI automation in screening mammography [0.03%]
一种量化AI自动化在乳腺筛查中风险和收益的新型统计框架
Michael H Bernstein,Maggie Chung,Adam Yala et al.
Michael H Bernstein et al.
AI has been proposed as a triage or "rule-out" device to reduce radiologist workload, but it is presently unclear how an AI "rule-out" threshold should be determined. We present a framework for determining an optimal threshold. Using a retr...
Using big data to search for possible geographic clustering of Congenital Heart Disease (CHD) across Australia [0.03%]
利用大数据在澳大利亚范围内寻找先天性心脏病（CHD）的地域聚集的可能性
Calum Nicholson,Geoff Strange,David S Celermajer
Calum Nicholson
Several diseases show geographic clustering, giving insights into possible genetic and environmental causes. The pathogenesis of Congenital Heart Disease (CHD) remains largely unknown and analysis of geographic distribution of CHD cases lac...
Development and validation of interpretable multimodal clinical-radiomics models for predicting epileptogenic foci and surgical outcomes in tuberous sclerosis complex: A multicenter study [0.03%]
透明且可解释的多模态临床影像组学模型预测结节性硬化症癫痫灶及手术效果的建立和验证：一项多中心研究
Yang Li,Xingye Liu,Jie Li et al.
Yang Li et al.
Precise localization and resection of epileptogenic (epi) foci from multiple cortical foci determine surgical outcomes in the tuberous sclerosis complex (TSC). Although the use of intracranial electroencephalography (EEG) for detecting epil...
MITO-VATION: Feasibility of a technology-supported structured home exercise program in Mitochondrial Disease [0.03%]
线粒体病患者家庭锻炼计划的技术支持研究：可行性探索
Jeremey Thomas Horne,Natalie E Allen,Serene S Paul et al.
Jeremey Thomas Horne et al.
Exercise intolerance, combined with low levels of physical activity, are commonly observed in individuals with Primary Mitochondrial Disease (PMD). However, access to health professionals with expertise in prescribing exercise to this popul...
AI-ECG classification for Brugada syndrome: A study of machine learning techniques to optimise for limited datasets [0.03%]
用于布鲁加达综合征的AI心电图分类：一项研究，通过机器学习技术以针对少量数据集优化性能的研究
Keenan Saleh,Raaif Hadadi,Yixiu Liang et al.
Keenan Saleh et al.
Deep neural networks can classify ECGs with high accuracy when training data is abundant. Rare conditions like Brugada syndrome, an inherited arrhythmia syndrome predisposing to sudden death, pose challenges due to data scarcity hindering m...
Comparing human vs. machine-assisted analysis to develop a new approach for Big Qualitative Data Analysis [0.03%]
比较人工和机器辅助分析以开发大规模定性数据分析的新方法
Sam Martin,Emma Beecham,Emira Kursumovic et al.
Sam Martin et al.
Background: The exponential growth of Big Qualitative (Big Qual) data in healthcare research presents methodological challenges for traditional analysis approaches. This study evaluates the effectiveness of machine-assist...
Pregnant women's and health workers' perceptions and experiences on the Rwandan ANC digital module intervention at selected health centres [0.03%]
Rwanda.selected卫生中心的产前护理数字模块干预项目的孕妇及医务人员的认知和体验
Michael Habtu,Maria Barreix,Maurice Bucagu et al.
Michael Habtu et al.
As part of the New Antenatal Care Model for Africa and India (NAMAI) study, Rwanda implemented a digital module, in line with national digital health strategies, and the WHO SMART guideline framework. The purpose of this NAMAI study was to ...
Isabel Coutinho,Gonçalo M Correia,Bruno Martins et al.
Isabel Coutinho et al.
Although large language models can achieve remarkable results in most text generation tasks, these models have been less used in text classification problems, of which ICD coding of clinical documents is one example. In this work, we propos...
Taking a closer look: Can an app improve diagnostic accuracy in urgent care? Cluster-randomized interventional trial DASI [0.03%]
更仔细地看看：一种应用程序能否提高急诊诊疗的准确性？DASI集群随机对照试验
Eva Maria Noack,Kai Antweiler,Tim Friede et al.
Eva Maria Noack et al.
In urgent care settings, efficient medical history-taking is paramount for making timely and accurate treatment decisions. Medical history-taking apps have emerged as a means to streamline this process but their effectiveness in enhancing d...
Design, implementation and analysis of a quality assurance process for Informed Consents using the DZHK registry TORCH-DZHK1 as an example [0.03%]
以TORCH-DZHK1（德國心臟聯盟登記處）为例的信息披露同意书的质量保证过程的设计、实施与分析
Dana Stahl,Katrin Leyh,Alexander Rudolph et al.
Dana Stahl et al.
To collect sensitive patient data during clinical trials, the Informed Consent (IC) of the participants must be obtained beforehand. If the IC is not correct and complete, the document cannot be used to represent the will of the participant...