Sarcouncil Journal of Applied Sciences Aims & Scope

Abstract: Background: Artificial intelligence (AI) is increasingly transforming cancer research and clinical medicine, offering predictive analytics and precision diagnostics. Methods: This paper adopts a narrative review methodology, synthesizing evidence from peer-reviewed literature and case studies. Particular focus is given to applications of AI in cancer prevention through early detection, dietary analysis, lifestyle monitoring, and genomic prediction. Results: AI algorithms demonstrate superior sensitivity in identifying precancerous lesions, stratifying patient risk, and optimizing personalized interventions. Integration with nutritional and lifestyle datasets (Zhao, et al., 2017) further enhances prevention strategies. Conclusions: AI represents a transformative tool in preventive oncology, but widespread implementation requires addressing ethical, regulatory, and technical challenges.