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Application of artificial intelligence to the public health education

Bibliographic Data

ID22072092
AuthorsXueyan Wang (0000-0003-3908-3862, Sichuan University), Xiujing He (0000-0002-6161-1679, Sichuan University), Jiawei Wei (0000-0002-1605-6581, Sichuan University), Jianping Liu (0000-0001-6526-8831), Jian-Ping Liu (0000-0002-0320-061X, Second People’s Hospital of Yibin), Yuanxi Li (0009-0001-6970-3527, Sichuan University), Xiaowei Liu (0000-0002-1070-4867, Sichuan University, corresponding author)
Year2023
Volume10
Pages1087174-1087174
Publication date2023-01-10
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.1087174
PMID36703852
OpenAlexW4315433400
LanguageEN
Citations received8
References cited84

With the global outbreak of coronavirus disease 2019 (COVID-19), public health has received unprecedented attention. The cultivation of emergency and compound professionals is the general trend through public health education. However, current public health education is limited to traditional teaching models that struggle to balance theory and practice. Fortunately, the development of artificial intelligence (AI) has entered the stage of intelligent cognition. The introduction of AI in education has opened a new era of computer-assisted education, which brought new possibilities for teaching and learning in public health education. AI-based on big data not only provides abundant resources for public health research and management but also brings convenience for students to obtain public health data and information, which is conducive to the construction of introductory professional courses for students. In this review, we elaborated on the current status and limitations of public health education, summarized the application of AI in public health practice, and further proposed a framework for how to integrate AI into public health education curriculum. With the rapid technological advancements, we believe that AI will revolutionize the education paradigm of public health and help respond to public health emergencies

Big data · Curriculum · Health education · International health · Knowledge management · Medical education · Pedagogy · Political science · Public health · Public health informatics · Public relations · Sociology · Artificial Intelligence in Healthcare · Artificial Intelligence in Healthcare and Education · Computer Science · COVID-19 diagnosis using AI · Medicine · Nursing

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    Open Access•Adewunmi Akingbola, Abiodun Adegbesan et al.•Frontiers in Public Health•2025

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    Open Access•Jing Luo, Kaiqiao Zheng et al.•Frontiers in Public Health•2023

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    Open Access•Jin Wang, Jianxiang Li•Frontiers in Public Health•2024

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    Open Access•Kun-Hsing Yu, Andrew L Beam et al.•Nature Biomedical Engineering•2018

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    Open Access•Scott Mayer McKinney, Marcin Sieniek et al.•Nature•2020

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    Open Access•M I Jordan, T M Mitchell•Science•2015

  • Exploring the impact of artificial intelligence on teaching and learning in higher education

    Open Access•Stefan A D Popenici, Sharon Kerr•Research and Practice in…•2017

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  • Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda

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  • The Italian health system and the Covid-19 challenge

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    Open Access•Eric J Topol•Nature Medicine•2019

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    Open Access•Abdul Ghaffar, Sabina Faiz Rashid et al.•BMJ Global Health•2021

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  • Medical educators’ perspectives on the barriers and enablers of teaching public health in the undergraduate medical schools

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Unique citing works8
Citations per year2,67
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 7

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