Public Health & Policy

Health Policy

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

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Deep Learning-Based Risk Prediction Model for Major Adverse Cardiovascular Events in Long-Term Breast Cancer Survivors

Clinical practice guidelines recommend cardiovascular toxicity risk restratification including evalu...

Modeling the Impact of Social Determinants on Breast Cancer Screening: A Data-Driven Approach

This study addresses the critical implementation science challenge of operationalizing social determ...

Completeness and Quality of Neurology Referral Letters Generated by a Large Language Model for Standardized Scenarios

Large Language Models (LLMs) offer promising applications in healthcare, including drafting referral...

A Survey on Optimization and Machine Learning-Based Fair Decision Making in Healthcare

The unintended biases introduced by optimization and machine learning (ML) models are a topic of gre...

Design and Implementation of an End-to-End AI-Driven Colonoscopy Recall Workflow at Scale

We present a real-world deployment of a large language model-powered colonoscopy recall pipeline tha...

AI-Driven Personalization of Dual Antiplatelet Therapy Duration Post-PCI: A Novel Approach Balancing Ischemic and Bleeding Risks

Precision-guided dual antiplatelet therapy (DAPT) duration post-percutaneous coronary intervention (...

Predicting Utilization of Emergency Contraceptive Usage in Ethiopia and Identifying Its Predictors Using Machine Learning

Despite policy support, inappropriate use of emergency contraception (EC) in Ethiopia contributes to...

Quantifying new threats to health and biomedical literature integrity from rapidly scaled publications and problematic research

The last three years have seen an explosion in published manuscripts analysing open-access health da...

AI-literacy training enhances physician-LLM diagnostic collaboration in a resource-limited setting: a randomized controlled trial

Diagnostic errors remain a pervasive yet preventable source of patient harm, with resourcelimited he...

MentalQLM: A lightweight large language model for mental healthcare based on instruction tuning and dual LoRA modules

Mental disorders pose significant challenges to healthcare systems and have profound social implicat...

AI Agents in Clinical Medicine: A Systematic Review

AI agents built on large language models (LLMs) can plan tasks, use external tools, and coordinate w...

Development and Validation of VC-MAES and VC-SEPS: Deep Learning-Based Early Warning Systems for Hospitalized Patients

The timely detection of ward deterioration—including unplanned intensive care unit (ICU) transfer, c...

A Web-Based Application for Real-Time Malaria Prediction using Environmental Variables

Malaria remains a persistent public health challenge in Zimbabwe, particularly in rural districts su...

Impact of LLM Assistance on Physician Decision-Making: A Multi-Country Randomized Controlled Trial∗

Disparities in the quality of healthcare persist globally, with poor-quality care contributing signi...

SynthCraft: an AI partner for synthetic data generation to support data access and augmentation in healthcare

Access to high-quality data provides the foundation for biomedical research. But data access is ofte...

Human-AI Collaboration in Clinical Reasoning: A UK Replication and Interaction Analysis

A paper from Goh et al found that a large language model (LLM) working alone outperformed American c...

Closing the Lung Cancer Screening Gap in FQHCs with AI-Powered Clinical Decision Support

Lung cancer remains the leading cause of cancer-related mortality in the United States, with screeni...

Towards Participatory Precision Health: Systematic Review and Co-designed Guidelines For Adolescent Just-in-time Adaptive Interventions

Adolescence and young adulthood (10-25 years) constitute a sensitive developmental period marked by ...

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