Public Health & Policy

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

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System Dynamics Modeling for Diabetes Treatment and Prevention Planning.

The increasing prevalence of preventable chronic disease in Canada poses significant challenges to b...

Feb 2025 39968560
Learning to Explain Air Traffic Situation

Understanding how air traffic controllers construct a mental 'picture' of complex air traffic situ...

Dynamic-Computed Tomography Angiography for Cerebral Vessel Templates and Segmentation

Background: Computed Tomography Angiography (CTA) is crucial for cerebrovascular disease diagnosis...

Evaluating GPT's Capability in Identifying Stages of Cognitive Impairment from Electronic Health Data

Identifying cognitive impairment within electronic health records (EHRs) is crucial not only for t...

Vision-Language Models for Edge Networks: A Comprehensive Survey

Vision Large Language Models (VLMs) combine visual understanding with natural language processing,...

Social inequality and cultural factors impact the awareness and reaction during the cryptic transmission period of pandemic

The World Health Organization (WHO) declared the COVID-19 outbreak a Public Health Emergency of In...

AI-Driven Electronic Health Records System for Enhancing Patient Data Management and Diagnostic Support in Egypt

Digital healthcare infrastructure is crucial for global medical service delivery. Egypt faces EHR ...

Enhancing SQL Injection Detection and Prevention Using Generative Models

SQL Injection (SQLi) continues to pose a significant threat to the security of web applications, e...

Synthetic Datasets for Machine Learning on Spatio-Temporal Graphs using PDEs

Many physical processes can be expressed through partial differential equations (PDEs). Real-world...

Mining Unstructured Medical Texts With Conformal Active Learning

The extraction of relevant data from Electronic Health Records (EHRs) is crucial to identifying sy...

A Novel Zero-Touch, Zero-Trust, AI/ML Enablement Framework for IoT Network Security

The IoT facilitates a connected, intelligent, and sustainable society; therefore, it is imperative...

Invited commentary: deep learning-methods to amplify epidemiologic data collection and analyses.

Deep learning is a subfield of artificial intelligence and machine learning, based mostly on neural ...

Feb 2025 39013794
Conversation AI Dialog for Medicare powered by Finetuning and Retrieval Augmented Generation

Large language models (LLMs) have shown impressive capabilities in natural language processing tas...

Global Epidemiology of Outbreaks of Unknown Cause Identified by Open-Source Intelligence, 2020-2022.

Epidemic surveillance using traditional approaches is dependent on case ascertainment and is delayed...

Feb 2025 39983687
Year-over-Year Developments in Financial Fraud Detection via Deep Learning: A Systematic Literature Review

This paper systematically reviews advancements in deep learning (DL) techniques for financial frau...

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