Public Health & Policy

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

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Showing 3025-3045 of 9,131 articles
A Decade of the Center for Disease Control and Prevention's FluSight Influenza Forecasting

Since the U.S. 2013/14 influenza season, the CDC's FluSight Challenge has provided a platform for ev...

NutriMLLM: Multimodal Large Language Models for Dietary Micronutrient Analysis

Comprehensive estimation of dietary micronutrients from food images could improve clinical nutrition...

Real-Time Threat Detection from Surveillance Cameras using Machine Learning

Ensuring public safety in densely populated urban environments remains a critical challenge, necessi...

Comfort with AI for HIV Prevention Among Cisgender Women in New York City

Background: Long-acting pre-exposure prophylaxis (PrEP) expands HIV prevention options for women. Ho...

Sensitive Glioma Detection and Recurrence Monitoring Using a Machine Learning Model Based on Circulating Monocytes

Background: Non-invasive diagnosis, reliable recurrence surveillance remain critical unmet needs in ...

Development and Validation of a Machine Learning Model to Predict Prognosis in Patients with Advanced Head and Neck Cancer

Importance Prognostic tools beyond staging are needed to guide treatment and counseling in head and ...

AI Adoption for NCDs in Kenya: A Qualitative Study

Background: Non-communicable diseases (NCDs) represent a critical public health challenge in Kenya, ...

A scutum-focused deep learning pipeline for species-level identification of Aedes aegypti and Aedes albopictus from citizen-science images

Background. Mosquito-borne diseases transmitted by Aedes aegypti and Aedes albopictus, including den...

Glycemic response trajectories on metformin monotherapy in real-world diabetes care

Objectives: Diabetes affects over 500 million people globally and glycemia is inadequately managed. ...

Semantic Robustness Probing via Inpainting: An Interactive Tool for Safety-Critical Object Detection

Testing object detectors in safety-critical domains requires semantically meaningful probes beyond p...

Spatio-temporal machine learning for multi-horizon prediction of bluetongue outbreaks

Reliable early warning of infectious disease outbreaks remains a major challenge for surveillance sy...

A digital twin for hospital antimicrobial resistance forecasting and constrained intervention optimisation

Hospital antimicrobial resistance (AMR) emanates from an array of complex interactions between patie...

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