Latest AI and machine learning research in public health & policy for healthcare professionals.
Audio classification is paramount in a variety of applications including surveillance, healthcare monitoring, and environmental analysis. Traditional methods frequently depend on intricate signal processing algorithms and manually crafted features, which may fall short in fully capturing the complexities of audio patterns. Neuromorphic computing, inspired by the architecture and functioning of t...
Background: Mutations in KMT2B are a recognized cause of early-onset complex dystonia, with deep brain stimulation (DBS) of the internal globus pallidus (GPi-DBS) being an effective treatment. However, gait impairment, particularly freezing of gait (FOG), remains a significant challenge in DYT-KMT2B patients post-DBS. Objectives: To characterize the emergence of FOG in DYT-KMT2B patients treated...
At the end of 2019, an outbreak of a novel coronavirus was reported in China, leading to the COVID-19 pandemic. In Spain, the first cases were detec...
The increasing prevalence of preventable chronic disease in Canada poses significant challenges to both healthcare budgets and individual financial st...
Understanding how air traffic controllers construct a mental 'picture' of complex air traffic situations is crucial but remains a challenge due to t...
The Internet of Things (IoT) revolutionizes smart city domains such as healthcare, transportation, industry, and education. The Internet of Medical ...
Background: Computed Tomography Angiography (CTA) is crucial for cerebrovascular disease diagnosis. Dynamic CTA is a type of imaging that captures t...
Identifying cognitive impairment within electronic health records (EHRs) is crucial not only for timely diagnoses but also for facilitating research...
Vision Large Language Models (VLMs) combine visual understanding with natural language processing, enabling tasks like image captioning, visual ques...
Advancements in computer vision technology have facilitated the extensive deployment of intelligent transportation systems and visual surveillance s...
The World Health Organization (WHO) declared the COVID-19 outbreak a Public Health Emergency of International Concern (PHEIC) on January 31, 2020. H...
Digital healthcare infrastructure is crucial for global medical service delivery. Egypt faces EHR adoption barriers: only 314 hospitals had such sys...
SQL Injection (SQLi) continues to pose a significant threat to the security of web applications, enabling attackers to manipulate databases and acce...
The occurrence and progression of cancer is a significant focus of research worldwide, often accompanied by a prolonged disease course. Concurrently, ...
Many physical processes can be expressed through partial differential equations (PDEs). Real-world measurements of such processes are often collecte...
The extraction of relevant data from Electronic Health Records (EHRs) is crucial to identifying symptoms and automating epidemiological surveillance...
The IoT facilitates a connected, intelligent, and sustainable society; therefore, it is imperative to protect the IoT ecosystem. The IoT-based 5G an...
Deep learning is a subfield of artificial intelligence and machine learning, based mostly on neural networks and often combined with attention algorit...
Large language models (LLMs) have shown impressive capabilities in natural language processing tasks, including dialogue generation. This research a...
Epidemic surveillance using traditional approaches is dependent on case ascertainment and is delayed. Open-source intelligence (OSINT)-based syndromic...