Transformative Synergy: Health Informatics, Artificial Intelligence, and Applied Mathematics
Autour(s)
- Charu Rattan
Abstract
This article explores the symbiotic relationship between health informatics, artificial intelligence (AI), and applied mathematics, illuminating the convergence of these disciplines in advancing healthcare solutions. Investigating the transformative potential of this multidisciplinary approach, the study navigates through a comprehensive literature review, elucidates the research methodology, presents results, and draws conclusions. By delving into the interplay of health informatics, AI, and applied mathematics, the article unveils novel insights into the future of healthcare, where intelligent systems, data analytics, and mathematical modeling converge for enhanced patient outcomes and efficient healthcare management. This article investigates the transformative synergy among health informatics, artificial intelligence (AI), and applied mathematics, converging to redefine the landscape of modern healthcare. With a focus on data-driven technologies, intelligent algorithms, and mathematical modeling, the study navigates through an extensive literature review, elucidates the research methodology, presents intriguing results, and draws comprehensive conclusions. This multidisciplinary exploration unveils profound insights into the future of healthcare, where the amalgamation of intelligent systems, advanced data analytics, and sophisticated mathematical models creates a nexus for optimizing patient outcomes, enhancing diagnostics, and revolutionizing healthcare management. As we stand on the precipice of a new era in healthcare innovation, this extended abstract invites readers on a journey through the intricate interplay of health informatics, AI, and applied mathematics, offering a glimpse into the transformative potential that holds the key to a more efficient, intelligent, and patient-centric healthcare paradigm.