Latest AI and machine learning research in surveillance for healthcare professionals.
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...
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...
This study critically examines the methodological rigor in credit card fraud detection research, r...
Breast cancer remains a leading global health concern, with significant strides made in early detect...
This statement conveys the European Society of Gastrointestinal Endoscopy (ESGE) position on the use...
BACKGROUND: The rapid advancement of artificial intelligence (AI) in healthcare necessitates compreh...
Automated radiology report generation from chest X-ray (CXR) images has the potential to improve c...