An artificial intelligence-based framework for Alzheimer's disease diagnosis from magnetic resonance imaging volumes via video vision transformer [0.03%]
一种基于人工智能的阿尔茨海默病诊断框架通过磁共振成像视频视觉变换器实现
Taymaz Akan,Sait Alp,Shenuarin Bhuiyan et al.
Taymaz Akan et al.
Objective: Alzheimer's disease (AD) is a progressive neurodegenerative disorder that leads to cognitive decline and memory impairment, posing a public health concern in aging populations. Early and accurate detection of A...
Limei Wang,Yue Sun,Weili Lin et al.
Limei Wang et al.
Objective: Accurate infant brain parcellation is crucial for understanding early brain development; however, it is challenging due to the inherent low tissue contrast, high noise, and severe partial volume effects in infa...
An evolutionary ensemble learning for diagnosing COVID-19 via cough signals [0.03%]
一种基于咳嗽信号诊断新冠肺炎的进化集成学习方法
Mohammad Hassan Tayarani Najaran
Mohammad Hassan Tayarani Najaran
Objective The spread of the COVID-19 disease has caused great concern around the world and detecting the positive cases is crucial in curbing the pandemic. One of the symptoms of the disease is the dry cough it causes. It has previously bee...
Big data technology in infectious diseases modeling, simulation, and prediction after the COVID-19 outbreak [0.03%]
新冠爆发后的大数据技术在传染病建模、模拟和预测中的应用
Honghao Shi,Jingyuan Wang,Jiawei Cheng et al.
Honghao Shi et al.
After the outbreak of COVID-19, the interaction of infectious disease systems and social systems has challenged traditional infectious disease modeling methods. Starting from the research purpose and data, researchers improved the structure...
A model simulation on the SARS-CoV-2 Omicron variant containment in Beijing, China [0.03%]
北京奥密克戎变异株新冠病毒控制的模型模拟研究
Shihao Liang,Tianhong Jiang,Zengtao Jiao et al.
Shihao Liang et al.
Objective: The Omicron variant of SARS-COV-2 is replacing previously circulating variants around the world in 2022. Sporadic outbreaks of the Omicron variant into China have posed a concern how to properly response to bat...
Application of big data and artificial intelligence in epidemic surveillance and containment [0.03%]
大数据和人工智能在疫情监控与防控中的应用
Zengtao Jiao,Hanran Ji,Jun Yan et al.
Zengtao Jiao et al.
Faced with the current time-sensitive COVID-19 pandemic, the overburdened healthcare systems have resulted in a strong demand to develop newer methods to control the spread of the pandemic. Big data and artificial intelligence (AI) have bee...
Real-time digital data of international passengers will shine in the precaution of epidemics [0.03%]
国际旅客实时数字数据将在传染病防控中大放异彩
Naizhe Li,Lu Dong
Naizhe Li
International movement plays an important role in spatial spread of infectious diseases. Here, we share two successful COVID-19 interventions based on real-time digital information collected from international passengers, which have been pe...
Information technology and artificial intelligence support in management experiences of the pediatric designated hospital during the COVID-19 epidemic in 2022 in Shanghai [0.03%]
2022年上海疫情期间儿童专科医院管理中信息技术和人工智能支持的作用体验
Yu Shi,Jin Fu,Mei Zeng et al.
Yu Shi et al.
Objective: To describe the information technology and artificial intelligence support in management experiences of the pediatric designated hospital in the wave of COVID-19 in Shanghai. ...
Yanyan Shi,Yahan Song,Zhijun Guo et al.
Yanyan Shi et al.
Background: The coronavirus disease 2019 (COVID-19) pandemic is ravaging the world. Many therapies have been explored to treat COVID-19. This report aimed to assess the global research trends for the development of COVID-...
Ketamine use disorder: preclinical, clinical, and neuroimaging evidence to support proposed mechanisms of actions [0.03%]
氯胺酮使用障碍：支持其作用机制的前临床、临床和神经影像学证据
Leah Vines,Diana Sotelo,Allison Johnson et al.
Leah Vines et al.
Ketamine, a noncompetitive NMDA receptor antagonist, has been exclusively used as an anesthetic in medicine and has led to new insights into the pathophysiology of neuropsychiatric disorders. Clinical studies have shown that low subanesthet...