ISI Journals

This article delves into the intricate realm of healthcare dynamics, examining the synergy between survival analysis, artificial intelligence (AI), and dynamical systems. The study explores how these advanced methodologies intersect and contribute to a deeper understanding of patient outcomes, treatment efficacy, and healthcare system dynamics. Through an extensive literature review, a meticulous research methodology, and a presentation of results, this research aims to elucidate the transformative potential of integrating survival analysis, AI, and dynamical systems in healthcare. This comprehensive study delves into the intricate interplay of survival analysis, artificial intelligence (AI), and dynamical systems, presenting a nuanced exploration of their collective impact on healthcare dynamics. By synthesizing traditional statistical methods, advanced machine learning algorithms, and dynamic modeling frameworks, the research uncovers novel insights into patient survival patterns, treatment efficacy, and the temporal evolution of healthcare processes. The multifaceted analysis bridges the gap between individualized patient outcomes and the broader dynamics of healthcare systems, offering a holistic understanding of how these methodologies synergize to inform more precise decision-making. The results not only underscore the transformative potential of integrating survival analysis, AI, and dynamical systems but also pave the way for future innovations that stand to redefine the landscape of healthcare research, delivery, and sustainability.