Articles | Open Access | https://doi.org/10.37547/ijmscr/Volume06Issue02-06

Studying The Features Of Artificial Intelligence In Early Diagnosis Of Diseases

Voitova Gavkhar Alisherovna , Issue 2 Public Health and Health Care Management, Tashkent State Medical University, Uzbekistan

Abstract

Through machine learning algorithms, neural networks, and big data analysis, AI systems can detect subtle patterns in medical images, laboratory results, and clinical data that may escape human observation. Artificial intelligence (AI) has become an essential tool in modern healthcare, offering innovative solutions for early disease diagnosis. Early detection of diseases such as cancer, diabetes, cardiovascular disorders, and neurodegenerative conditions has significantly improved through AI-assisted diagnostic tools. These technologies not only enhance diagnostic accuracy and speed but also reduce healthcare costs and support personalized treatment plans. However, the integration of AI into medical diagnostics requires careful consideration of data privacy, algorithm transparency, and ethical implications. Overall, AI continues to revolutionize early disease diagnosis and holds immense promise for the future of precision medicine.

Keywords

Artificial intelligence, Early diagnosis, Machine learning

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Voitova Gavkhar Alisherovna. (2026). Studying The Features Of Artificial Intelligence In Early Diagnosis Of Diseases. International Journal of Medical Sciences And Clinical Research, 6(02), 25–27. https://doi.org/10.37547/ijmscr/Volume06Issue02-06