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References from Artificial Intelligence as a Core Public Health Competency: Proposal and Perspectives in Education and Research. Local targets link to admitted publications; unresolved targets remain external evidence.
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Artificial intelligence in public health: promises, challenges, and an agenda for policy makers and public health institutions
10.1016/s2468-2667(25)00036-2 · External reference
Artificial intelligence in public health education: a scoping review of workforce competency development
10.1002/hsr2.72066 · External reference
Artificial intelligence empowering public health education: prospects and challenges
10.3389/fpubh.2024.1389026 · External reference
Artificial intelligence and data analytics competencies for public health professionals
10.1057/s41271-024-00499-w · External reference
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Competency-based medical education: theory to practice
10.3109/0142159x.2010.501190 · External reference
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Kirkpatrick’s levels and education “evidence”
10.1111/j.1365-2923.2011.04076.x · External reference
10.54675/pcsp7350
10.54675/pcsp7350 · External reference
Applications of artificial intelligence (AI) in medical education: a scoping review
10.3233/shti230581 · External reference
Applications and challenges of implementing artificial intelligence in medical education: integrative review
10.2196/13930 · External reference
Integrating artificial intelligence into medical education: lessons learned from a Belgian initiative
10.70725/265312mqoebd · External reference
Health communication on the internet: promoting public health and exploring disparities in the generative AI era
10.2196/66032 · External reference
AI and omics technologies in biobanking: applications and challenges for public health
10.1016/j.puhe.2025.105726 · External reference
Artificial intelligence and big data in public health
10.3390/ijerph15122796 · External reference
Integrating the environmental and genetic architectures of aging and mortality
10.1038/s41591-024-03483-9 · External reference
Artificial intelligence transforms the future of health care
10.1016/j.amjmed.2019.01.017 · External reference
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Artificial intelligence and public health: an exploratory study
10.3390/ijerph20054541 · External reference
10.1145/3639233.3639355
10.1145/3639233.3639355 · External reference
How much energy will AI really consume? the good, the bad and the unknown
10.1038/d41586-025-00616-z · External reference
Tracking the carbon footprint of global generative artificial intelligence
10.1016/j.xinn.2025.100866 · External reference
Potential reduction in healthcare carbon footprint by autonomous artificial intelligence
10.1038/s41746-022-00605-w · External reference
10.54675/ewzm9535
10.54675/ewzm9535 · External reference
Educational strategies for clinical supervision of artificial intelligence use
10.1056/nejmra2503232 · External reference
Implementing machine learning in health care - addressing ethical challenges
10.1056/nejmp1714229 · External reference
Dissecting racial bias in an algorithm used to manage the health of populations
10.1126/science.aax2342 · External reference
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AI in health and medicine
10.1038/s41591-021-01614-0 · External reference
Moravec’s paradox and the fear of job automation in health care
10.1016/s0140-6736(23)01129-7 · External reference
A “fundamental theorem” of biomedical informatics
10.1197/jamia.m3092 · External reference
Application of artificial intelligence to the public health education
10.3389/fpubh.2022.1087174 · External reference
