Utilizing AI / ML Models to Detect and Diagnose Early - Stage Cancer

Umamaheswara Reddy Kudumula

Abstract: The article provides an extensive overview of cancers multifaceted challenges in global health, encompassing its impact on mortality, physical and psychological well - being, and the socioeconomic burden it imposes. It delves into the complexities of early - stage detection, highlighting biological, technological, and systemic challenges. Furthermore, it explores the transformative role of Artificial Intelligence AI and Machine Learning ML in revolutionizing cancer diagnosis, emphasizing advancements in imaging techniques, genomic analysis, pathology, and predictive analytics. Despite the benefits, challenges such as data quality, interpretability, and integration into clinical practice persist. However, the integration of AIML models shows promise in enhancing diagnostic accuracy, efficiency, and personalized medicine, with ongoing research focusing on explainable AI, personalized medicine integration, and cross - disciplinary collaborations.

Keywords: Cancer, Global Health, Early - stage Detection, Artificial Intelligence, Machine Learning