HOMILADORLIKDA IRSIY VA IRSIY BO‘LMAGAN KASALLIKLARNI ANIQLASHDA ZAMONAVIY DIAGNOSTIKA APPARATLARI VA SUN’IY INTELLEKTNING O‘RNI
Keywords:
homiladorlik, irsiy kasallik, NIPT, diagnostika, sun’iy intellekt, ultratovush, MRT, cfDNA.Abstract
Mazkur maqolada homiladorlik davrida irsiy va irsiy bo‘lmagan kasalliklarni barvaqt aniqlashning zamonaviy usullari va ularni aniqlash uchun ishlatilayotgan texnologiyalar haqida ma’lumot berilgan. Maqolada NIPT (invaziv bo‘lmagan prenatal test), ultratovush, MRT kabi apparatlar hamda sun’iy intellekt (AI) tizimlarining prenatal diagnostikadagi roli yoritilgan. Shuningdek, yangi yo‘nalish sifatida “fetal digital twin” – homilaning raqamli modeli, multi-omics ma’lumotlarni tahlil qilish va ularni sun’iy intellekt yordamida tahlillarni uyg‘unlashtirish haqida ma’lumot beriladi.
References
1. World Health Organization (WHO).Prenatal screening and diagnosis of genetic disorders. Geneva: WHO Publications, 2022. https://www.who.int (https://www.who.int/)
2. American College of Obstetricians and Gynecologists (ACOG). Screening for Fetal Chromosomal Abnormalities (Practice Bulletin No. 226). Obstetrics & Gynecology, Vol. 137, No. 5, 2021.
3. Chen, M., et al. Artificial Intelligence in Prenatal Ultrasound: A Review. Frontiers in Medicine, 2023; 10:1084421. DOI: 10.3389/fmed.2023.1084421 (https://doi.org/10.3389/fmed.2023.1084421)
4. Liu, Y., et al.Deep learning-based detection of fetal structural abnormalities in prenatal ultrasound images. Nature Medicine, 2022; 28(3): 486–494.
5. Zhao, L. & Zhang, H.AI-Assisted Non-Invasive Prenatal Testing for Fetal Aneuploidy Detection. Scientific Reports, 2021; 11(1): 22345.
6. Philips Healthcare Research. AI-driven obstetric ultrasound solutions for prenatal screening. Company White Paper, 2023.
7. GE Healthcare. Voluson AI technologies: Enhancing obstetric imaging accuracy. Clinical Innovation Series, 2022.
8. Rahman, S., & Karim, N. The role of artificial intelligence in prenatal genetic diagnosis: Current status and future perspectives. European Journal of Obstetrics & Gynecology and Reproductive Biology, 2022; 278: 20–27.
9. NIPT Consortium. Non-invasive prenatal testing and artificial intelligence algorithms in fetal aneuploidy detection. Prenatal Diagnosis, 2021; 41(9): 1176–1185.
10. Fabric Genomics. Clinical application of AI in genomic variant interpretation.
Technical Documentation, 2023. https://fabricgenomics.com (https://fabricgenomics.com/).
11. Google Health & DeepVariant Team. Accurate Genomic Variant Calling Using Deep Neural Networks. Nature Biotechnology, 2020; 38(11): 1337–1343.
12. Xu, Q., et al. AI-based analysis of fetal heart defects using 4D ultrasound.
Ultrasound in Obstetrics & Gynecology, 2024; 63(2): 185–197.
13. Ministry of Health of the Republic of Uzbekistan. Prenatal diagnostika bo‘yicha milliy klinik qo‘llanma. Toshkent, 2022.
14. Bozorov, A., Tursunova, D. Sun’iy intellektning tibbiyotdagi o‘rni va istiqbollari. O‘zbekiston Tibbiyot Jurnali, 2023; №4: 55
