AIMC Topic: Population Health

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Artificial intelligence, recessionary pressures and population health.

Bulletin of the World Health Organization Jan 2, 2025
Economic and labour policies have a considerable influence on health and well-being through direct financial impacts, and by shaping social and physical environments. Strong economies are important for public health investment and employment, yet the...
Global Health Population Health Economic Recession Humans Artificial Intelligence
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Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review.

BMC public health Dec 28, 2024
BACKGROUND: Machine learning (ML) is increasingly used in population and public health to support epidemiological studies, surveillance, and evaluation. Our objective was to conduct a scoping review to identify studies that use ML in population healt...
Humans Machine Learning Noncommunicable Diseases Algorithms Population Health Bias
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Targeting Machine Learning and Artificial Intelligence Algorithms in Health Care to Reduce Bias and Improve Population Health.

The Milbank quarterly Aug 8, 2024
Policy Points Artificial intelligence (AI) is disruptively innovating health care and surpassing our ability to define its boundaries and roles in health care and regulate its application in legal and ethical ways. Significant progress has been made ...
Humans United States Bias Algorithms Population Health Artificial Intelligence Machine Learning Delivery of Health Care
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Advocating for population health: The role of public health practitioners in the age of artificial intelligence.

Canadian journal of public health = Revue canadienne de sante publique Apr 16, 2024
Over the past decade, artificial intelligence (AI) has begun to transform Canadian organizations, driven by the promise of improved efficiency, better decision-making, and enhanced client experience. While AI holds great opportunities, there are also...
Public Health Canada Humans Artificial Intelligence Public Health Practice Professional Role Health Equity Population Health
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Ethical Implications of Artificial Intelligence in Population Health and the Public's Role in Its Governance: Perspectives From a Citizen and Expert Panel.

Journal of medical Internet research Apr 27, 2023
BACKGROUND: Artificial intelligence (AI) systems are widely used in the health care sector. Mainly applied for individualized care, AI is increasingly aimed at population health. This raises important ethical considerations but also calls for respons...
Humans Artificial Intelligence Consensus Population Health
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Deep learning for prediction of population health costs.

BMC medical informatics and decision making Feb 3, 2022
BACKGROUND: Accurate prediction of healthcare costs is important for optimally managing health costs. However, methods leveraging the medical richness from data such as health insurance claims or electronic health records are missing.
Health Care Costs Insurance Claim Review Population Health Germany Neural Networks, Computer Humans Deep Learning
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Editorial: The National COVID Cohort Collaborative Consortium Combines Population Data with Machine Learning to Evaluate and Predict Risk Factors for the Severity of COVID-19.

Medical science monitor : international medical journal of experimental and clinical research Aug 2, 2021
Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that causes coronavirus disease 2019 (COVID-19) commonly presents with pneumonia. However, COVID-19 is now recognized to involve multiple organ systems with varying severity ...
Female SARS-CoV-2 Risk Factors Adult Machine Learning COVID-19 Humans Models, Statistical Population Health Severity of Illness Index Diagnosis, Computer-Assisted Male Middle Aged
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Predicting population health with machine learning: a scoping review.

BMJ open Oct 27, 2020
OBJECTIVE: To determine how machine learning has been applied to prediction applications in population health contexts. Specifically, to describe which outcomes have been studied, the data sources most widely used and whether reporting of machine lea...
Logistic Models Population Health Humans Machine Learning China Calibration
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Population health AI researchers' perceptions of the public portrayal of AI: A pilot study.

Public understanding of science (Bristol, England) Oct 21, 2020
This article reports how 18 UK and Canadian population health artificial intelligence researchers in Higher Education Institutions perceive the use of artificial intelligence systems in their research, and how this compares with their perceptions abo...
Pilot Projects Canada Population Health Artificial Intelligence Uncertainty
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Supervised mixture of experts models for population health.

Methods (San Diego, Calif.) May 21, 2020
We propose a machine learning driven approach to derive insights from observational healthcare data to improve public health outcomes. Our goal is to simultaneously identify patient subpopulations with differing health risks and to find those risk fa...
Medical Informatics Normal Distribution Supervised Machine Learning Population Health Humans Information Storage and Retrieval Electronic Health Records
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