Artificial Intelligence in Cancer: Transforming Diagnosis, Treatment and Care

Abstract

AI has become a vital part of today’s medical technology, offering innovative ways to identify, manage, and monitor cancer by using data-driven computational models the expanding role of AI in oncology, covering diagnostic imaging, personalized therapy, drug discovery, patient monitoring, and ethical considerations. Artificial Intelligence (AI) is revolutionizing cancer care by enhancing diagnosis, treatment, and patient management. AI-powered tools analyze complex medical data from imaging, genomics, and pathology to detect cancers earlier and with greater accuracy. In treatment, machine learning models support personalized therapy planning, predict treatment responses, and accelerate drug discovery. AI also improves patient care through continuous health monitoring, virtual assistance, and predictive analytics that enable timely interventions. Despite challenges such as data privacy, bias, and regulatory concerns, AI continues to advance toward more precise, efficient, and patient-centered oncology. By integrating AI across all stages of cancer management, healthcare is moving closer to an era of truly personalized and data-driven cancer care.

Keywords: Artificial Intelligence, Oncology, Machine Learning, Deep Learning, Cancer Diagnosis, Precision Medicine, Healthcare Technology.