"ONLINE - CONFERENCES" PLATFORM

Volume 1, January 2025, Pages 75-78

Full Lenght Article
The Role of Artificial Intelligence in Early Disease Detection

Under a Creative Commons license
Open Access

Abstract

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 of breathing 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.

Declarations

Conflict of Interest Statement

The author (s) declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Bibliographic Information

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Cite this article as:

D.U.Ismoilova, & Sh.Muminjonova. (2025). The Role of Artificial Intelligence in Early Disease Detection. "ONLINE - CONFERENCES" PLATFORM, 1, 75–78. Retrieved from https://papers.online-conferences.com/index.php/titfl/article/view/1869
  • Submitted
    16 April 2025
  • Revised
    16 April 2025
  • Published
    10 March 2025