Latest AI and machine learning research in public health & policy for healthcare professionals.
We present an autonomous aerial surveillance platform, Veg, designed as a fault-tolerant quadcopter system that integrates visual SLAM for GPS-independent navigation, advanced control architecture for dynamic stability, and embedded vision modules for real-time object and face recognition. The platform features a cascaded control design with an LQR inner-loop and PD outer-loop trajectory control...
Drug overdose remains a critical global health issue, often driven by misuse of opioids, painkillers, and psychiatric medications. Traditional research methods face limitations, whereas social media offers real-time insights into self-reported substance use and overdose symptoms. This study proposes an AI-driven NLP framework trained on annotated social media data to detect commonly used drugs a...
The ability to predict drug overdose risk from a patient's medical records is crucial for timely intervention and prevention. Traditional machine le...
Methods to detect the emergence of infectious diseases, and approach to the "critical transition" RE = 1, have to potential to avert substantial dis...
Radio Frequency (RF) sensing technologies have experienced significant growth due to the widespread adoption of RF devices and the Internet of Thing...
Adoption of AI driven techniques in public services remains low due to challenges related to accuracy and speed of information at population scale. ...
In recent years, the rapid development of artificial intelligence (AI) has brought innovative opportunities to diabetes management, with significant a...
Accurate identification of respiratory viruses (RVs) is critical for outbreak control and public health. This study presents a diagnostic system tha...
Refractive error is a significant factor contributing to visual impairment, imposing a relatively large burden on the social economy. Although refract...
We introduce ThermoStereoRT, a real-time thermal stereo matching method designed for all-weather conditions that recovers disparity from two rectifi...
Pan-Tilt-Zoom (PTZ) cameras with wide-angle lenses are widely used in surveillance but often require image rectification due to their inherent nonli...
Type 2 Diabetes Mellitus (T2DM) remains a global health challenge, underscoring the need for early and accurate risk prediction. This study presents...
In a world where new domains are constantly discovered and machine learning (ML) is applied to automate new tasks every day, challenges arise with t...
In-bed human mesh recovery can be crucial and enabling for several healthcare applications, including sleep pattern monitoring, rehabilitation suppo...
The governance of frontier artificial intelligence (AI) systems--particularly those capable of catastrophic misuse or systemic failure--requires ins...
The management of chronic heart failure presents significant challenges in modern healthcare, requiring continuous monitoring, early detection of ex...
The challenge of detecting violent incidents in urban surveillance systems is compounded by the voluminous and diverse nature of video data. This pa...
Remote tracking systems play a critical role in applications such as IoT, monitoring, surveillance and healthcare. In such systems, maintaining both...
Cardiovascular diseases remain the leading cause of global morbidity and mortality. Validated risk scores are the basis of guideline-recommended care,...
Background Limited data are available regarding the accuracy of artificial intelligence (AI) algorithms trained on bilateral mammograms for second bre...