Online cognitive monitoring technology for people with Parkinson's disease and REM sleep behavioural disorder [0.03%]
帕金森病及快速眼动睡眠行为障碍患者的线上认知监测技术
Maria Bălăeţ,Falah Alhajraf,Tanja Zerenner et al.
Maria Bălăeţ et al.
Automated online cognitive assessments are set to revolutionise clinical research and healthcare. However, their applicability for Parkinson's Disease (PD) and REM Sleep Behavioural Disorder (RBD), a strong PD precursor, is underexplored. H...
Exploring cognitive reserve's influence: unveiling the dynamics of digital telerehabilitation in Parkinson's Disease Resilience [0.03%]
探索认知储备的影响：揭示帕金森病韧性数字远程康复的动态性
Sara Isernia,Sonia Di Tella,Federica Rossetto et al.
Sara Isernia et al.
Telerehabilitation is emerging as a promising digital method for delivering rehabilitation to Parkinson's Disease (PD) patients, especially in the early stages to promote brain resilience. This study explores how cognitive reserve (CR), the...
Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy [0.03%]
数字病理学中人工智能的系统回顾和诊断试验准确性 meta 分析
Clare McGenity,Emily L Clarke,Charlotte Jennings et al.
Clare McGenity et al.
Ensuring diagnostic performance of artificial intelligence (AI) before introduction into clinical practice is essential. Growing numbers of studies using AI for digital pathology have been reported over recent years. The aim of this work is...
Optical coherence tomography choroidal enhancement using generative deep learning [0.03%]
基于生成式深度学习的光学相干层析血管造影脉络膜增强方法研究
Valentina Bellemo,Ankit Kumar Das,Syna Sreng et al.
Valentina Bellemo et al.
Spectral-domain optical coherence tomography (SDOCT) is the gold standard of imaging the eye in clinics. Penetration depth with such devices is, however, limited and visualization of the choroid, which is essential for diagnosing chorioreti...
Sync fast and solve things-best practices for responsible digital health [0.03%]
迅速行动和解决问题：数字健康的责任实践的最佳做法
Constantin Landers,Alessandro Blasimme,Effy Vayena
Constantin Landers
Digital health innovation is expected to transform healthcare, but it also generates ethical and societal concerns, such as privacy risks, and biases that can compound existing health inequalities. While such concerns are widely recognized,...
A physiologically-based digital twin for alcohol consumption-predicting real-life drinking responses and long-term plasma PEth [0.03%]
基于生理的酒精摄入数字化孪生模型-预测现实生活中的饮酒反应和长期血浆PEth水平
Henrik Podéus,Christian Simonsson,Patrik Nasr et al.
Henrik Podéus et al.
Alcohol consumption is associated with a wide variety of preventable health complications and is a major risk factor for all-cause mortality in the age group 15-47 years. To reduce dangerous drinking behavior, eHealth applications have show...
FFA-GPT: an automated pipeline for fundus fluorescein angiography interpretation and question-answer [0.03%]
基于GPT的眼底荧光造影图像解读与问答系统
Xiaolan Chen,Weiyi Zhang,Pusheng Xu et al.
Xiaolan Chen et al.
Fundus fluorescein angiography (FFA) is a crucial diagnostic tool for chorioretinal diseases, but its interpretation requires significant expertise and time. Prior studies have used Artificial Intelligence (AI)-based systems to assist FFA i...
Robust language-based mental health assessments in time and space through social media [0.03%]
基于社交媒体的语言 robust 心理健康评估方法：时空视角
Siddharth Mangalik,Johannes C Eichstaedt,Salvatore Giorgi et al.
Siddharth Mangalik et al.
In the most comprehensive population surveys, mental health is only broadly captured through questionnaires asking about "mentally unhealthy days" or feelings of "sadness." Further, population mental health estimates are predominantly conso...
Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence [0.03%]
基于可解释人工智能的阿尔茨海默病患者脑结构异常的个性化表征构建研究
Esten H Leonardsen,Karin Persson,Edvard Grødem et al.
Esten H Leonardsen et al.
Deep learning approaches for clinical predictions based on magnetic resonance imaging data have shown great promise as a translational technology for diagnosis and prognosis in neurological disorders, but its clinical impact has been limite...
A critical assessment of using ChatGPT for extracting structured data from clinical notes [0.03%]
对使用ChatGPT从临床记录中提取结构化数据的批判性评估
Jingwei Huang,Donghan M Yang,Ruichen Rong et al.
Jingwei Huang et al.
Existing natural language processing (NLP) methods to convert free-text clinical notes into structured data often require problem-specific annotations and model training. This study aims to evaluate ChatGPT's capacity to extract information...