Transforming Cancer Diagnosis: Leveraging AI and Medical Analytics for Enhanced Clinical Decision Making

Abstract

This study aims to enhance cancer diagnosis through the integration of artificial intelligence (AI) and advanced data analytics. Utilizing a quantitative research design, we collected and analyzed diverse datasets, including demographic, clinical, and genetic information, to develop predictive models for early cancer detection. The findings reveal that machine learning algorithms significantly improve diagnostic accuracy, enabling the identification of cancer risk factors and facilitating timely interventions. The results underscore the potential of AI to transform cancer care by personalizing treatment strategies and improving patient outcomes. This research highlights the importance of ethical considerations and data quality in developing AI-driven healthcare solutions, suggesting that a collaborative approach is essential for future advancements in cancer diagnosis and management.