Modern Technology in Life Medicine: The Impact of Artificial Intelligence in Diagnosing Genetic Diseases
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Abstract
Modern advancements in technology are revolutionizing the medical field, particularly in the diagnosis of genetic diseases. Artificial intelligence (AI) has emerged as a powerful tool, transforming how clinicians and researchers analyze complex genetic data. AI algorithms can identify patterns in genomic sequences, enabling early and accurate diagnosis of conditions such as cystic fibrosis, Huntington's disease, and various hereditary cancers. This paper explores the integration of machine learning and AI-driven platforms in life medicine, highlighting their role in enhancing diagnostic precision, reducing time consumption, and supporting personalized treatment approaches. Additionally, ethical considerations, data privacy, and challenges associated with the widespread implementation of AI in clinical practice are discussed. The findings emphasize the transformative potential of AI in reshaping genetic diagnostics while underscoring the need for regulatory frameworks to ensure safe and effective adoption.
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