The impact of climate change on vulnerable populations in pediatrics: opportunities for AI, digital health, and beyond—a scoping review and selected case studies
Rattachement africain : us, de. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Climate change critically impacts global pediatric health, presenting unique and escalating challenges due to children's inherent vulnerabilities and ongoing physiological development. This scoping review intricately intertwines the spheres of climate change, pediatric health, and Artificial Intelligence (AI), with a goal to elucidate the potential of AI and digital health in mitigating the adverse child health outcomes induced by environmental alterations, especially in Low- and Middle-Income Countries (LMICs). A notable gap is uncovered: literature directly correlating AI interventions with climate change-impacted pediatric health is scant, even though substantial research exists at the confluence of AI and health, and health and climate change respectively. We present three case studies about AI's promise in addressing pediatric health issues exacerbated by climate change. The review spotlights substantial obstacles, including technical, ethical, equitable, privacy, and data security challenges in AI applications for pediatric health, necessitating in-depth, future-focused research. Engaging with the intricate nexus of climate change, pediatric health, and AI, this work underpins future explorations into leveraging AI to navigate and neutralize the burgeoning impact of climate change on pediatric health outcomes. IMPACT: Our scoping review highlights the scarcity of literature directly correlating AI interventions with climate change-impacted pediatric health that disproportionately affects vulnerable populations, even though substantial research exists at the confluence of AI and health, and health and climate change respectively. We present three case studies about AI's promise in addressing pediatric health issues exacerbated by climate change. The review spotlights substantial obstacles, including technical, ethical, equitable, privacy, and data security challenges in AI applications for pediatric health, necessitating in-depth, future-focused research.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- The impact of climate change on vulnerable populations in pediatrics: opportunities for AI, digital health, and beyond—a scoping review and selected case studies
- Date Crossref
- 29/01/2025
- Éditeur
- Springer Science and Business Media LLC
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Johns Hopkins University pays non établi dans la noticeUniversité ou école supérieure
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Columbia University Irving Medical Center Department of Biomedical Informatics pays non établi dans la noticeÉtablissement de santé
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Neu-Ulm University of Applied Sciences DigiHealth Institute pays non établi dans la noticeUniversité ou école supérieure
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Children's Hospital of Philadelphia Division of General Pediatrics pays non établi dans la noticeOrganisme public
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Brown University Brown Center for Biomedical Informatics pays non établi dans la noticeUniversité ou école supérieure
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University of Pennsylvania Department of Pediatrics pays non établi dans la noticeUniversité ou école supérieure
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Philadelphia University pays non établi dans la noticeUniversité ou école supérieure
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Johns Hopkins Bloomberg School of Public Health Center for Outbreak Response Innovation pays non établi dans la noticeUniversité ou école supérieure
Johns Hopkins University, Department of Biomedical Informatics — Columbia University Irving Medical Center et DigiHealth Institute — Neu-Ulm University of Applied Sciences, avec 5 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.