LEVERAGING ARTIFICIAL INTELLIGENCE AND BIG DATA ANALYTICS FOR PERSONALIZED MEDICINE: INNOVATIONS AND CHALLENGES IN HEALTHCARE IT
Keywords:
Artificial Intelligence, Big Data Analytics, Personalized Medicine, Healthcare IT, Data Privacy, Machine Learning, Genomic Data, Precision Healthcare, Healthcare InnovationAbstract
The integration of artificial intelligence (AI) and big data analytics in healthcare has revolutionized the field of personalized medicine, offering innovative solutions for more accurate diagnosis, treatment, and patient care. Personalized medicine, which tailors treatment plans to an individual’s genetic makeup, lifestyle, and environment, is gaining traction due to advancements in AI algorithms and big data analytics. This article explores the innovations brought by AI and big data in personalized medicine, focusing on their role in improving healthcare outcomes and addressing the challenges in implementation. Moreover, it highlights the challenges, such as data privacy concerns, computational complexities, and ethical dilemmas, while proposing potential solutions for overcoming these barriers. Finally, the article discusses the future prospects of AI and big data analytics in personalized healthcare and the regulatory frameworks needed to support their expansion.
References
Chen, J., Hwang, J., & Oh, H. (2020). The role of AI in the development of personalized medicine. Journal of Medical Science, 45(2), 112-125.
Deloitte. (2021). Data privacy in healthcare: Navigating compliance in a digital world. Deloitte Insights.
Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115-118.
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., & Schafer, B. (2018). AI for humanity: Challenges and opportunities. Science and Technology Journal, 359(6382), 12-15.
Huang, C., Yu, J., & Lee, H. (2021). Big data analytics and AI in personalized healthcare: Trends and challenges. Healthcare Technology Review, 12(3), 23-33.
LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436-444.
Mak, K., & Pichika, M. R. (2019). Artificial intelligence in drug development: Applications, promises, and challenges. Pharmaceutical Research, 36(2), 1-10.
Obermeyer, Z., & Emanuel, E. J. (2016). Predicting the future: Big data, machine learning, and clinical medicine. The New England Journal of Medicine, 375(13), 1216-1219.
Schwartz, D., Dash, P., & Porter, J. (2019). Computational challenges in personalized medicine. Computing in Science and Engineering, 21(4), 55-60.
Topol, E. (2019). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books.
Wang, J., Liu, H., & Dong, Z. (2018). AI-powered wearable devices in personalized healthcare: A new paradigm. Journal of Digital Health, 5(1), 14-23.
Gulyamova, G., Abdullaev, A., & Sharipova, U. (2020). Peculiarities and modern trends in world energy and the development of global pipeline transport networks. Journal of Critical Reviews, 7(4), 388-392.
Абдуллаев, А. К. (2023). РОЛЬ ТРАНСПОРТНОЙ ДИПЛОМАТИИ В РАЗВИТИИ ВНЕШНЕТОРГОВЫХ МАРШРУТОВ РЕСПУБЛИКИ УЗБЕКИСТАН. Постсоветские исследования, 6(3), 315-323.
Abdullaev, A. K. (2023). THE INFLUENCE OF THE TRANSFORMATIONS IN UZBEKISTAN’S ECONOMY ON PERSONNEL ISSUES DURING THE GREAT PATRIOTIC WAR. Вестник Волгоградского государственного университета. Серия 4: История. Регионоведение. Международные отношения, 28(3), 42-53.
Abdullaev, A. K. (2021). The improvement of transport system leads to economic growth: a myth or a reality?. International Relations: Politics, Economics, Law, 2020(1), 39-47.
Abdullaev, A. (2017). Transport aspect of cooperation within SCO. International Relations: Politics, Economics, Law, 2017(2), 11.
Abdullaev, A. K. THE PECULIARITIES OF THE USE OF THE SPECIAL LEXIS. ТОШКЕНТ-2021, 23.
Палванова, У. Б. (2024). Значение Формирования Навыков Оказания Первой Помощи У Студентов В Не Медицинских Образовательных Учреждениях. Periodica Journal of Modern Philosophy, Social Sciences and Humanities, 27, 93-98.
Палванова, У., Якубова, А., & Юсупова, Ш. (2023). УЛЬТРАЗВУКОВОЕ ИССЛЕДОВАНИЕ ПРИ СПЛЕНОМЕГАЛИИ. Talqin va tadqiqotlar, 1(21).
Якубова, А. Б., & Палванова, У. Б. Проблемы здоровья связанные с экологией среди населения Приаралья мақола Научно-медицинский журнал “Авиценна” Выпуск № 13. Кемерово 2017г, 12-15.
Азада, Б. Я., & Умида, Б. П. (2017). ПРОБЛЕМЫ ЗДОРОВЬЯ СВЯЗАННЫЕ С ЭКОЛОГИЕЙ СРЕДИ НАСЕЛЕНИЯ ПРАРАЛЬЯ. Авиценна, (13), 12-14.
Степанян, И. А., Изранов, В. А., Гордова, В. С., Белецкая, М. A., & Палванова, У. Б. (2021). Ультразвуковое исследование печени: поиск наиболее воспроизводимой и удобной в применении методики измерения косого краниокаудального размера правой доли. Лучевая диагностика и терапия, 11(4), 68-79.
Stepanyan, I. A., Izranov, V. A., Gordova, V. S., Beleckaya, M. A., & Palvanova, U. B. (2021). Ultrasound examination of the liver: the search for the most reproducible and easy to operate measuring method of the right lobe oblique craniocaudal diameter. Diagnostic radiology and radiotherapy, 11(4), 68-79.
Batirovna, Y. А., Bahramovna, P. U., Bahramovna, P. S., & Ogli, I. A. U. (2019). Effective treatment of patients with chronic hepatitis, who live in ecologically unfavorable South zone of Aral Sea region. Наука, образование и культура, (2 (36)), 50-52.
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