Published Paper Details:

Cancer continues to pose a substantial global burden, prompting relentless efforts to enhance screening, diagnosis, treatment, and survivorship strategies. While remarkable progress has been made in recent decades, the delivery of personalized and data-driven care presents ongoing challenges. Enter artificial intelligence (AI), a burgeoning field within computer science renowned for its predictive and automation capabilities. AI holds the potential to revolutionize the healthcare landscape, particularly in oncology, by bolstering precision and effectiveness. The scope of AI applications in oncology is extensive, encompassing the optimization of cancer research processes, refinement of clinical practices--such as the prognostication of multifaceted parameter-outcome relationships--and the deepening of insights into tumor molecular biology. This comprehensive review navigates the current landscape of AI in oncology, delving into its foundational principles, present-day applications, inherent limitations, and the promising vistas that lie ahead. By examining the interplay of AI and cancer care, this review underscores the transformative potential of AI-driven innovations while acknowledging the intricate roadblocks that must be navigated for its successful integration into mainstream healthcare practices.