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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

  • Read count 30
  • Date of publication 10-07-2025
  • Main LanguageIngliz
  • Pages147-151
English

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

№ Author name position Name of organisation
1 Ismoilova D.U. Teacher Central Asian Medical University
2 Muminjonova S.. Student Central Asian Medical University
№ Name of reference
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