USING ARTIFICIAL INTELLIGENCE TO PREVENT DISEASES IN YOUNG CHILDREN

Authors

  • Daminova Barno Esanovna Author
  • Suvanova Khilola Uchqun qizi Author

Keywords:

Artificial Intelligence, Child Health, Disease Prevention, Predictive Analytics, Pediatric Care, Machine Learning, Early Diagnosis.

Abstract

The rapid advancement of artificial intelligence (AI) is transforming healthcare systems worldwide. One of the most promising applications of AI lies in the prevention of diseases among young children, a population particularly vulnerable to infections, developmental disorders, and chronic conditions. This article explores how AI technologies—such as machine learning, predictive analytics, and intelligent monitoring systems—can help detect risks early, improve preventive care, and support parents and healthcare providers. The study also discusses challenges, ethical concerns, and future perspectives of AI-driven pediatric healthcare.

Author Biographies

  • Daminova Barno Esanovna

    Associate Professor, Department of Algorithms and Programming Technologies, Karshi State University, barnod@mail.ru

    ORCID: 0009-0001-4211-6082

  • Suvanova Khilola Uchqun qizi

    Student of Karshi State University, suvanovahilola88@gmail.com

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Published

2026-04-30

Issue

Vol. 49 No. 2 (2026): Modern education and development

Section

Articles