Public Health & Policy

Latest AI and machine learning research in public health & policy for healthcare professionals.

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Showing 2941-2961 of 9,131 articles
Effects and predictive performance of multilayer environmental exposures on coccidioidomycosis: a longitudinal surveillance study

Coccidioidomycosis (Valley fever) is a soilborne mycosis endemic to the US Southwest whose incidence...

Using large language models to facilitate literature review and data extraction for infectious disease models: COVID-19 as a test case

Infectious disease transmission models are governed by parameters informed by systematic review of e...

Segment Any Motion with Radar: Robust Multimodal Moving-Object Segmentation and Tracking

Moving-object perception must decide which image regions correspond to real motion and keep every in...

Federated Binary Gating with Server-Side Vision-Language Inference for Surveillance Anomaly Classification

Privacy-sensitive surveillance systems could benefit from large vision-language models (VLMs), but s...

A physics-informed hybrid deep learning model for spatiotemporal rice disease prediction using multi-source data

Accurate, reliable, large-scale disease predictions are essential to ensure rice production. Existin...

Evaluating performance bias in face-to-BMI vision transformer models across diverse human populations

Computer vision models that estimate body mass index (BMI) from facial features offer a non-invasive...

Counterfactual Fairness Audits of Multi-Step Clinical LLM Agents Require a Measured Per-Action Instability Floor

Counterfactual audits are the standard tool for checking whether a clinical agent treats demographic...

A Benchmark for Vehicle Attribute Classification in Cross-Domain Surveillance Scenarios

Vehicle attribute analysis is a key component of Intelligent Transportation Systems (ITS), supportin...

Geographically Weighted Machine Learning for Spatial Prediction of Cancer Prevalence in the United States: A Mixed Method Approach

Cancer prevalence is distributed unevenly across regions and caused by the interaction of multiple r...

Predicting Subjective Cognitive Decline on Future BRFSS Survey Years: An Open Multi-Language Machine Learning Benchmark

Background and Objectives: Subjective cognitive decline (SCD), self-reported worsening confusion or ...

Adaptive Multi-Agent Feature Selection for Personalized Fall Risk Prevention

Falls among older adults represent a major public health challenge driven by complex, time-varying i...

Data-Driven Geospatial Modeling and Forecasting of Malaria Burden to Support Control and Elimination in Africa

Malaria elimination is shaped by complex interactions among climatic, environmental, socioeconomic, ...

Making Broad Evidence Synthesis Feasible: An LLM Screening Agent for Meta-Analyses Applied To Suicide Prevention

Importance. Systematic reviews and meta-analyses inform suicide-prevention policy and practice, but ...

CARD:Epi - Contextualizing Antimicrobial Resistance Determinants Using Deep Learning Language Models

Bacterial outbreak publications outline the key factors involved in the uncontrolled spread of infec...

A Vision-Language Framework for Predicting Brain Tumor Recurrence from Multimodal, Longitudinal Patient Data

Accurate prediction of tumor recurrence in brain tumor patients following surgery is essential for o...

Rethinking Text-Based Image Retrieval in Specific Domain

Driven by the rapid advancement of vision-language representation learning, Text-based Image Retriev...

Deep Learning based Detection of Fishing Vessels and Fishing Monitoring using Nightlight Images

The demand for maritime surveillance has given rise to the need for monitoring fishing vessel activi...

Mapping the Pandemics Echo: Dynamic Narrative Detection and Spatio-Temporal Sentiment Modeling of COVID-19 Discourse on Twitter

The COVID-19 pandemic triggered an unprecedented volume of real-time discourse on social media platf...

Structure-aware deep learning predicts influenza antigenicity and guides vaccine strain recommendation

The continuous accumulation of genetic mutations in influenza A viruses (IAVs) drives antigenic drif...

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