MODERN APPROACHES TO EARLY DIAGNOSIS OF ONCOLOGICAL DISEASES: OPPORTUNITIES OF ARTIFICIAL INTELLIGENCE AND MOLECULAR MEDICINE

Abstract

This article examines modern approaches to the early diagnosis of oncological diseases, with particular attention to the opportunities provided by artificial intelligence and molecular medicine. Early detection of cancer remains one of the most significant challenges in modern healthcare, as it directly influences treatment outcomes, survival rates, and overall quality of life for patients. The study highlights the role of artificial intelligence in analyzing imaging data, pathology slides, and genetic information, enabling faster and more accurate detection of malignant changes. In parallel, molecular medicine offers precise diagnostic tools, including liquid biopsy, genomic sequencing, and biomarker analysis, which allow for the identification of cancer at preclinical stages. The integration of these two directions—AI-driven technologies and molecular diagnostics—has the potential to transform traditional oncology by moving from late-stage detection to predictive and preventive medicine. Special emphasis is placed on the relevance of these methods in the context of healthcare development in developing regions, where early and effective diagnostics can reduce mortality and improve accessibility to high-quality cancer care. The article concludes that the synergy of artificial intelligence and molecular medicine provides a new paradigm for oncology, combining technological innovation with precision healthcare strategies.