Latest AI and machine learning research in public health & policy for healthcare professionals.
Hospital-acquired infections (HAIs) significantly burden global healthcare systems, exacerbated by antibiotic-resistant bacteria. Traditional infection control measures often lack consistency due to variable human compliance. This comprehensive review aims to explore the role of artificial intelligence (AI) in enhancing infection control and prevention in hospitals. A systematic literature search ...
Objective: Electronic health records (EHR) are widely available to complement administrative data-based disease surveillance and healthcare performance evaluation. Defining conditions from EHR is labour-intensive and requires extensive manual labelling of disease outcomes. This study developed an efficient strategy based on advanced large language models to identify multiple conditions from EHR ...
Conflicts between humans and bears on the Tibetan Plateau present substantial threats to local communities and hinder wildlife preservation initiati...
Object detection models often struggle with class imbalance, where rare categories appear significantly less frequently than common ones. Existing s...
In a context of constant increase in competition and heightened regulatory pressure, accuracy, actuarial precision, as well as transparency and unde...
Background Telemedicine has the potential to provide secure and cost-effective healthcare at the touch of a button. Nephrotic syndrome is a chronic ...
Investigating the public experience of urgent care facilities is essential for promoting community healthcare development. Traditional survey method...
Accurately mapping medical procedure names from healthcare providers to standardized terminology used by insurance companies is a crucial yet comple...
Small object detection (SOD) is a critical yet challenging task in computer vision, with applications like spanning surveillance, autonomous systems...
Video Anomaly Detection (VAD) remains a fundamental yet formidable task in the video understanding community, with promising applications in areas s...
The aim of this study was to devise a machine learning algorithm with superior performance in predicting bone metastasis (BM) in small cell lung cance...
In the contemporary fight against cancer, primary health care (PHC) services hold a significant and critical position within the healthcare system. Th...
Facing the escalating threat of global wildfires, numerous computer vision techniques using remote sensing data have been applied in this area. Howe...
This research paper presents an innovative ship detection system tailored for applications like maritime surveillance and ecological monitoring. The...
Effective epidemic modeling is essential for managing public health crises, requiring robust methods to predict disease spread and optimize resource...
Automatic video activity recognition is crucial across numerous domains like surveillance, healthcare, and robotics. However, recognizing human acti...
Coronaviruses, including SARS-CoV-2, are responsible for COVID-19, a highly transmissible disease that emerged in December 2019 in Wuhan, China. Dur...
Aiming to match pedestrian images captured under varying lighting conditions, visible-infrared person re-identification (VI-ReID) has drawn intensiv...
The increasing frequency of firearm-related incidents has necessitated advancements in security and surveillance systems, particularly in firearm de...
High quality and high speed videography using Non-Line-of-Sight (NLOS) imaging benefit autonomous navigation, collision prevention, and post-disaste...