Pneumonia remains one of the leading causes of death among children under five years of age, especially in low-and middle-income countries. Despite substantial advances in medical science, delayed diagnosis and lack of effective preventive measures continue to hinder progress in reducing its global burden. Modern approaches, including advanced diagnostic technologies, digital health tools, improved vaccination coverage, and integrated community health strategies, are increasingly being utilized to address this public health challenge. This paper explores thelatest developments in the early detection and prevention of pediatric pneumonia, focusing on clinical innovations, artificial intelligence applications, and public health strategies. Special attention is given to how these approaches can be adapted and applied in resource-constrained environments
Pneumonia remains one of the leading causes of death among children under five years of age, especially in low-and middle-income countries. Despite substantial advances in medical science, delayed diagnosis and lack of effective preventive measures continue to hinder progress in reducing its global burden. Modern approaches, including advanced diagnostic technologies, digital health tools, improved vaccination coverage, and integrated community health strategies, are increasingly being utilized to address this public health challenge. This paper explores thelatest developments in the early detection and prevention of pediatric pneumonia, focusing on clinical innovations, artificial intelligence applications, and public health strategies. Special attention is given to how these approaches can be adapted and applied in resource-constrained environments
| № | Author name | position | Name of organisation |
|---|---|---|---|
| 1 | Shoyusupova G.S. | Associate Professor | Tashkent State Medical University |
| № | Name of reference |
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