Artificial intelligence: its potential in personalized public health strategies and genetic data analysis: a narrative review
Yazarlar (2)
Dr. Öğr. Üyesi Gülcan DEMİR Sinop Üniversitesi, Türkiye
Doç. Dr. Zeynep YEĞİN Sinop Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Personalized Medicine (Q3) | ||
| Dergi ISSN | 1741-0541 Dergi Bilgileri (2025) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 04-2025 |
| Cilt / Sayı / Sayfa | 22 / 3 / 171–179 | DOI | 10.1080/17410541.2025.2494501 |
| Makale Linki | https://doi.org/10.1080/17410541.2025.2494501 | ||
| UAK Araştırma Alanları |
Halk Sağlığı
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| Özet |
| This review comprehensively evaluates personalized public health strategies using artificial intelligence (AI) in disease prediction/management and genetic data analysis. In the field of healthcare, AI has achieved significant advancements in the analysis of public health and genetic data. Its applications in public health include predicting the spread of infectious diseases, evaluating individual risk factors, and optimizing resource management. In the realm of genetic data, AI offers groundbreaking contributions such as identifying disease risk factors, analyzing genetic mutations, and developing personalized treatment plans. In this review, we evaluated the importance of AI in preventive medicine in a structured way and by including concrete application examples. Ethical and legal responsibilities must be considered due to the significant implications of AI-generated decisions. By integrating AI into public health and … |
| Anahtar Kelimeler |
| Artificial intelligence | ethical aspects | genetics | precision medicine | public health informatics |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 4 |
| Scopus | 4 |
| Google Scholar | 6 |