Control Tower in the hospital: a structure-process-outcome systemic review of telemedicine systems for interprofessional collaboration [0.03%]
控制塔式医院：远程医疗系统的结构-过程-结果系统综述促进专业间合作
Xuechao Hao,Anna Ligocki,Shashank Gupta et al.
Xuechao Hao et al.
Effect of telemedicine-based interventions have been designed to enhance in-hospital interprofessional collaboration. But their effect on healthcare processes and patient outcomes remain variable. We conducted a systematic review to explore...
Tandospirone augments cisplatin treatment by lowering cholesterol and managing distress in NSCLC patients [0.03%]
坦多螺酮通过降低胆固醇和管理压力辅助顺铂治疗非小细胞肺癌患者的机制研究
Xichun Qin,Bo Cheng,Shangshang Ma et al.
Xichun Qin et al.
Emotional distress (ED), including anxiety and depression, is highly prevalent in patients with non-small cell lung cancer (NSCLC) and may compromise both quality of life and treatment outcomes. In this study, we evaluated the mental health...
SpeechCARE: dynamic multimodal modeling for cognitive screening in diverse linguistic and speech task contexts [0.03%]
面向多样化语言和言语任务情境的认知筛查的动态多模态模型 SpeechCARE
Hossein Azadmaleki,Yasaman Haghbin,Sina Rashidi et al.
Hossein Azadmaleki et al.
SpeechCARE is a multimodal transformer pipeline designed to detect cognitive impairment from brief speech recordings through multiclass classification of Alzheimer's Disease and Related Dementias (ADRD), Mild Cognitive Impairment (MCI), and...
The human factor in explainable artificial intelligence: clinician variability in trust, reliance, and performance [0.03%]
可解释的人工智能中的“人为因素”：医生在信任度、依赖性以及性能方面的个体差异
Angus Nicolson,Elizabeth Bradburn,Yarin Gal et al.
Angus Nicolson et al.
Explainable Artificial Intelligence (XAI) is proposed as essential for high-risk applications like healthcare, where it aims to enhance user trust. However, studies often rely on automated metrics rather than user evaluation. We adapt a pro...
STPath: a generative foundation model for integrating spatial transcriptomics and whole-slide images [0.03%]
STPath：一种生成基础模型，用于集成空间转录组学和全滑动图像
Tinglin Huang,Tianyu Liu,Mehrtash Babadi et al.
Tinglin Huang et al.
Spatial transcriptomics (ST) offers insights into gene expression patterns and their spatial context within the tumor microenvironment, but remains limited by the scalability of current sequencing technologies. Existing approaches infer ST ...
GlioSurv: interpretable transformer for multimodal, individualized survival prediction in diffuse glioma [0.03%]
GlioSurv：一种解释性变换器，用于弥漫性胶质瘤的多模态、个体化生存预测
Junhyeok Lee,Joon Jang,Heeseong Eum et al.
Junhyeok Lee et al.
Adult diffuse gliomas are clinically and molecularly heterogeneous, complicating risk stratification and personalized management. We introduce GlioSurv, a multimodal transformer model based on an accelerated failure time framework to integr...
Development of a LASSO dynamic prediction system for interbody cage subsidence following OLIF surgery [0.03%]
开发OLIF手术后椎间融合器沉降的LASSO动态预测系统
Jin Zhang,Hetong Li,Guofang Fang et al.
Jin Zhang et al.
Cage subsidence after oblique lumbar interbody fusion (OLIF) frequently causes poor outcomes, yet existing predictive models lack accuracy and applicability. This study leveraged the Least Absolute Shrinkage and Selection Operator (LASSO) r...
AI-driven prediction of progression to oral squamous cell carcinoma using a multiresolution pathology model [0.03%]
基于多分辨率病理模型的 AI 驱动的口腔鳞状细胞癌进展预测
Yingci Liu-Swetz,Sead Niksic,Raja R Seethala et al.
Yingci Liu-Swetz et al.
Potentially malignant oral lesions are visible mucosal changes with risk of progressing to squamous cell carcinoma. These lesions are currently graded as no, mild, moderate, or severe dysplasia per WHO guidelines. While widely used, this sy...
From retina to brain: how deep learning closes the gap in silent stroke screening [0.03%]
从视网膜到大脑：深度学习在隐性卒中筛查中的应用如何缩短距离
Minyan Ge,Yuchun Wang,Shumao Xu
Minyan Ge
Silent brain infarctions (SBIs), affecting 20% of adults and increasing stroke risk, evade routine MRI screening. While retinal scans offer a “window to the brain,” prior AI failed to simultaneously detect SBIs and predict strokes. DeepRE...
Diurnal variation of wearable device-based heart rate variability in the Chronic Renal Insufficiency Cohort study [0.03%]
基于穿戴设备的心率变异性的昼夜变化——慢性肾功能不全队列研究中的初步分析
Carsten Skarke,Wei Yang,Daohang Sha et al.
Carsten Skarke et al.
Little is known about the prognostic value of continuous, out-of-clinic biometric monitoring of cardiovascular function in chronic kidney disease (CKD). In this study, a mean (±SD) of 50.3 ± 9.3 h of EKG recordings from wearable BioPatch ...