How AI can be used to promote public and population health
Dados Bibliográficos
| ID | 22073802 |
|---|---|
| Autores | William B Weeks (0000-0002-9918-1360, Microsoft (Norway), autor correspondente), Juan M Lavista Ferres (Microsoft (Norway)) |
| Ano | 2026 |
| Volume | 14 |
| Páginas | 1773572-1773572 |
| Data de publicação | 2026-01-29 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Frontiers in Public Health (JOURNAL) |
| Identificadores do periódico | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Editora | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2026.1773572 |
| PMID | 41694518 |
| OpenAlex | W7125968730 |
| Idioma | EN |
| Referências citadas | 38 |
Here, we summarize the work that Microsoft's philanthropic Artificial Intelligence (AI) for Good Lab has completed in the realm of promoting public and population health. In particular, after providing examples of how the AI for Good Lab has articulated the value of using AI to improve public and population health, we provide examples and references of the work demonstrating how the Lab has: applied Artificial Intelligence (AI) to improve maternal, fetal, and infant health; leveraged large language models to improve population health; and applied AI to improve rural health and healthcare. We also summarize what we have learned through our work, finding that: getting the question right and ensuring the limitations of any analysis are understood is important; collaboration across public, private, and educational institutions with subject matter experts will be the most effective and efficient way to harness this new technology; and that focusing on metrics that reflect health, and not just the accuracy of the model, is the most impactful way to improve the health of populations, worldwide
Applications of artificial intelligence · Population · Population health · Public health · Realm · Artificial Intelligence in Healthcare and Education · Global Maternal and Child Health · Health, Environment, Cognitive Aging
Rural-urban disparities in health outcomes, clinical care, health behaviors, and social determinants of health and an action-oriented, dynamic tool for visualizing them
Improving Rural Healthcare by Creating Academic‐ and Nonacademic‐Rural Hospital Partnerships Based on Community Health Needs Assessments and Technological Needs
Bridging the rural‐urban divide
An observational, sequential analysis of the relationship between local economic distress and inequities in health outcomes, clinical care, health behaviors, and social determinants of health
| Velocidade de citação | historical |
|---|---|
| Altamente citado | Não |