logo
calendar27 Iyun 2025
view37
Основной язык:Английский

РОЛЬ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В РАННЕМ ВЫЯВЛЕНИИ ЗАБОЛЕВАНИЙ

Область науки:
pdf

685ebc7c9b8c0.pdf

PDF

АННОТАЦИЯ СТАТЬИ

quote
This article explores the transformative role of Artificial Intelligence (AI) in early disease detection, focusing on Parkinson's disease as a case study. It highlights how AI technologies, such as machine learning algorithms, enhance diagnostic accuracy and improve patient outcomes by enabling early intervention and personalized treatment strategies. The article discusses innovative AI applications, including the analysis ofbreathing patterns, vocal recordings, and medical imaging, which offer non-invasive and accurate methods for detecting Parkinson's disease. However, the integration of AI in healthcare also presents ethical challenges, particularly concerning patient privacy, data security, and algorithmic bias. The article examines existing policies and proposes strategies for responsible AI implementation, emphasizing the need for collaboration among stakeholders to maximize AI's benefits while safeguarding patient privacy and upholding ethical standards

АВТОРЫ

D.Ismoilova

Central Asian Medical University

SH.Muminjonova

Central Asian Medical University

Теги

# Parkinson's disease# Artificial Intelligence (AI)# Machine Learning# healthcare efficiency# Early Disease Detection# Healthcare Ethics# Patient Privacy# Diagnostic Accuracy# Personalized Medicine# Chronic Disease Management

ДРУГИЕ СТАТЬИ ЭТОГО ЖУРНАЛА

Оценить статью

0
оценок: 0
5
4
3
2
1

Идентификаторы статьи

DOI:

Недоступно

Список литературы

1.Ardila, D., Kiraly, A. P., Bharadwaj, S., Choi, B., Reicher, J. J., Peng, L., ... & Corrado, G. S. (2019). End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography. Nature medicine, 25(6), 954-961.2.Breton, M., Kovatchev, B. P., & Cobelli, C. (2020). Artificial pancreas: past, present, future. Diabetes Care, 43(6), 1259-1270.3.Char, D., Shah, N. H., & Magnus, D. (2018). Article title.Journal name, 123(4), 567-589.4.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), 115-118.5.Keenan, A. B., & Brumback, B. A. (2020). Personalized medicine in oncology: current applications and future directions. Journal of Clinical Oncology, 38(15), 1623-1634.6.MIT News. (2022). Artificial intelligence can detect Parkinson’s from breathing patterns. Retrieved from https://news.mit.edu/2022/artificial-intelligence-can-detect-parkinsons-from-breathing-patterns-08227.Mirbabaie, S., Zhou, J., Li, L., & Liu, H. (2021). Artificial intelligence in liver disease: current applications and future perspectives. Hepatology, 73(2), 704-717.8.Orozco-Arroyave, J. R., Arroyave-Tobón, J. A., Giraldo, J. D., & Orozco-Gómez, J. P. (2020). Automatic detection of Parkinson's disease using vocal recordings and convolutional neural networks. Computers in Biology and Medicine, 120, 103767.9.O'Sullivan, J. W., Thompson, C., & Dahler, A. (2018). Article title. Journal name, 123(4), 567-589.10.Sivaranjini, S., & Sujatha, S. (2021). Machine learning approaches for the detection of Parkinson’s disease using MRI images: A review. Brain Sciences, 11(3), 339.