{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,25]],"date-time":"2026-08-25T15:48:09Z","timestamp":1787672889115,"version":"build-2736575974"},"reference-count":76,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T00:00:00Z","timestamp":1771459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Artif. Intell."],"abstract":"<jats:p>Anemia is a serious global public health problem, worldwide majority of the young women are suffering with this anemia. Anemia condition is characterized by the deficiency iron, folic acid and other nutrients. Not only nutritional deficiencies, some other factors like environmental, genetic, physiological, nutritional, urbanization and socioeconomic factors influencing the anemia condition. Anemia is highly prevalent and has significant health and economic consequences efforts to decrease its prevalence in this young women group have been surprisingly slow. An Artificial Intelligence helps to shift in addressing the anemic problem. This review focusing on the multifactorial causes of anemia in young women and also AI- based interventions for screening, risk assessment, personalized nutritional counseling, treatment, management and also public health monitoring. AI facilitates greater accessibility, and personalized treatment, its responsible application requires careful consideration of algorithmic biases, data quality, ethical, and seamless integration with current healthcare systems. AI has the potential to revolutionize anemia management and promote equitable responsible and effective health outcomes for young women worldwide.<\/jats:p>","DOI":"10.3389\/frai.2026.1747611","type":"journal-article","created":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T06:41:11Z","timestamp":1771483271000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Anemia in young women: determinants and artificial intelligence-based management approaches"],"prefix":"10.3389","volume":"9","author":[{"given":"Guttapalam","family":"Sireesha","sequence":"first","affiliation":[{"name":"Sri Padmavati Mahila Visvavidyalayam","place":["Tirupati, India"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"D.","family":"Madhavi","sequence":"additional","affiliation":[{"name":"Sri Padmavati Mahila Visvavidyalayam","place":["Tirupati, India"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A. 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