Latest AI and machine learning research in surveillance for healthcare professionals.
Conducting disparity assessments at regular time intervals is critical for surfacing potential biases in decision-making and improving outcomes across demographic groups. Because disparity assessments fundamentally depend on the availability of demographic information, their efficacy is limited by the availability and consistency of available demographic identifiers. While prior work has conside...
Abdominal aortic aneurysms (AAAs) are progressive focal dilatations of the abdominal aorta. AAAs may rupture, with a survival rate of only 20\%. Current clinical guidelines recommend elective surgical repair when the maximum AAA diameter exceeds 55 mm in men or 50 mm in women. Patients that do not meet these criteria are periodically monitored, with surveillance intervals based on the maximum AA...
When the epidemiology of infectious diseases is more complex, it is often difficult for disease prediction studies based on a single model to capture ...
The rapid evolution of artificial intelligence (AI), together with the increased availability of social media and news for epidemiological surveillanc...
The low-altitude economy is emerging as a key driver of future economic growth, necessitating effective flight activity surveillance using existing ...
The integration of deep learning-based glaucoma detection with large language models (LLMs) presents an automated strategy to mitigate ophthalmologi...
Real-world surveillance often renders faces and license plates unrecognizable in individual low-resolution (LR) frames, hindering reliable identific...
Modern data marketplaces and data sharing consortia increasingly rely on incentive mechanisms to encourage agents to contribute data. However, schem...
Surveillance systems play a critical role in security and reconnaissance, but their performance is often compromised by low-quality images and video...
This position paper argues that post-deployment monitoring in clinical AI is underdeveloped and proposes statistically valid and label-efficient tes...
The Internet comprises of interconnected, independently managed Autonomous Systems (AS) that rely on the Border Gateway Protocol (BGP) for inter-dom...
Incidental detection and quantification of coronary calcium in CT scans could lead to the early introduction of lifesaving clinical interventions. H...
This study critically examines the methodological rigor in credit card fraud detection research, revealing how fundamental evaluation flaws can over...
Breast cancer remains a leading global health concern, with significant strides made in early detection and treatment. However, effective long-term su...
This statement conveys the European Society of Gastrointestinal Endoscopy (ESGE) position on the use of computer-aided detection (CADe) with artificia...
BACKGROUND: The rapid advancement of artificial intelligence (AI) in healthcare necessitates comprehensive and standardized reporting guidelines to en...
Unmanned Aerial Vehicles (UAVs) are one of the most revolutionary inventions of 21st century. At the core of a UAV lies the central processing syste...
Automated radiology report generation from chest X-ray (CXR) images has the potential to improve clinical efficiency and reduce radiologists' worklo...
Wearable technology, combined with artificial intelligence (AI) and machine learning (ML) algorithms, opens up new frontiers for continuously monitori...
Accurately and reliably detecting and recognizing human body movements in real time, relaying appropriate commands to the machine, have substantial im...