Cited by 31

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Adolescent Health and Generative AI-Risks and Benefits

Nagata, Jason M., Memon, Zain, Huang, Oliver, Moreno, Megan A.·2026·JAMA Pediatrics

Abstract

This Viewpoint explores how generative artificial intelligence (AI) tools may affect adolescent health and well-being in the following domains: health information, cognition, critical thinking, mental health, body image, social connection, physical activity, and sleep.

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Crossref · 10.1001/jamapediatrics.2025.4502

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Research works printed but not linked: 4

  1. Nagata, 2025, What we know about screen time and social media in early adolescence: a review of findings from the Adolescent Brain Cognitive Development Study., Curr Opin Pediatr, 37, 357, 10.1097/MOP.0000000000001462 · DOI
  2. Olawade, 2024, Enhancing mental health with artificial intelligence: current trends and future prospects., J Med Surg Public Health, 3, 10.1016/j.glmedi.2024.100099 · DOI
  3. Castellanos Silva, 2023, Social media and body dissatisfaction in young adults: an experimental investigation of the effects of different image content and influencing constructs., Front Psychol, 14, 10.3389/fpsyg.2023.1037932 · DOI
  4. Mansfield, 2025, From social media to artificial intelligence: improving research on digital harms in youth., Lancet Child Adolesc Health, 9, 194, 10.1016/S2352-4642(24)00332-8 · DOI

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Metadata

Authors
Nagata, J. M., Memon, Z., Huang, O., & Moreno, M. A.
Affiliations
  • Department of Pediatrics, University of California, San Francisco
  • Division of General Pediatrics & Adolescent Medicine, University of Wisconsin-Madison, Madison
Venue
JAMA Pediatrics
Published
2026-01-01
Volume
180
Issue
1
Pages
7
ISSN
2168-6203
Cited by
31
References
3
Language
en

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