Latest AI and machine learning research in public health & policy for healthcare professionals.
Accurate vehicle localization from monocular roadside surveillance cameras is important for intellig...
Video surveillance in public safety, healthcare, and smart environments has made continuous human mo...
Clinical development is sequential decision-making under uncertainty, where a sponsor must plan a po...
Objective: To develop and validate a supervised text-embedded transformer matching model to identify...
Abstract: Compartmental epidemic models conventionally treat the probability of moving between dis e...
Accurate multi-week dengue forecasting supports timely vector-control interventions, outbreak prepar...
CT vision-language foundation models have demonstrated promising performance across downstream tasks...
In picture-based agricultural insurance for smallholder farmers, missed damage detections carry subs...
FeePredict is a three-stage random forest machine learning framework to simul-taneously predict whet...
Tungiasis, a parasitic skin disease affecting millions across sub-Saharan Africa, remains one of the...
The convergence of artificial intelligence (AI), digital sensing, and ubiquitous computing has creat...
Efficient border control is becoming a significant global challenge, mainly due to severe congestion...
Real-time forecasts of seasonal respiratory outbreaks are critical for public health preparedness an...
The Segment Anything Model 2 (SAM2) has advanced temporal promptable segmentation, yet its deploymen...
People with Down syndrome have higher age-specific mortality rates compared to the general populatio...
Physical simulations that predict the behavior of urban disasters, such as climate-related flooding,...
Solitary bee species that use artificial trap nests are important for agricultural crop production a...
The cost of healthcare remains a concern in the United States and may have been influenced by disrup...
A surveillance camera is an image sensor whose silent physical degradation invalidates every downstr...
Accurately attributing causes of death is vital for global health, yet fewer than 5% of deaths in re...
Abstract Background Despite a rising global psychiatric burden, a treatment gap persists where the m...