Latest AI and machine learning research in surveillance for healthcare professionals.
AMRScan is a hybrid bioinformatics toolkit implemented in both R and [Nextflow](https://www.nextfl...
Purpose To assess the agreement between routine-dose (RD) and lower-dose (LD) contrast-enhanced CT s...
is a leading cause of foodborne illnesses globally, with significant mortality rates, especially am...
Artificial intelligence (AI), particularly deep learning, has demonstrated high diagnostic performan...
Healthcare-associated infections (HAIs) are a global public health concern, imposing significant cli...
Sporotrichosis, a zoonotic mycosis with a growing public health impact, requires innovative methods ...
Abnormal behavior detection in surveillance video, as one of the essential functions in the intellig...
BACKGROUND: Machine learning algorithms (MLA) gained prominence in nutritional epidemiology for anal...
''TikTok, Do Your Thing'' is a viral trend where users attempt to identify strangers they see in p...
Antimicrobial resistance (AMR) is a growing global health crisis, threatening the effectiveness of a...
Social isolation and loneliness, which have been increasing in recent years strongly contribute to...
Wastewater-based epidemiology (WBE) is a fast emerging method for passively monitoring diseases in...
Conducting disparity assessments at regular time intervals is critical for surfacing potential bia...
Abdominal aortic aneurysms (AAAs) are progressive focal dilatations of the abdominal aorta. AAAs m...
When the epidemiology of infectious diseases is more complex, it is often difficult for disease pred...
The rapid evolution of artificial intelligence (AI), together with the increased availability of soc...
The low-altitude economy is emerging as a key driver of future economic growth, necessitating effe...
The integration of deep learning-based glaucoma detection with large language models (LLMs) presen...
Modern data marketplaces and data sharing consortia increasingly rely on incentive mechanisms to e...
Surveillance systems play a critical role in security and reconnaissance, but their performance is...
This position paper argues that post-deployment monitoring in clinical AI is underdeveloped and pr...