Published in: Journal of Computer Science and Engineering in Innovations and Research (ISSN No: 3049-1762 online)
Publication Date: June 15, 2025
The integration of Artificial Intelligence (AI) in healthcare has led to transformative advancements in diagnosis, treatment, and medical imaging and medical service management. This paper explores the multidimensional computational models applied in the healthcare domain, industrial applications; IoT based solutions in agriculture and other verticals for enhancing accuracy, efficiency, and outcomes. In the realm of high performance computing (HPC) and enhanced networking, AI enables medical services to a new height, which includes image analysis, prediction, recommendation, robotic surgery, remote health monitoring and smart health kiosks in green cities. This paper proposes a centralized computing environment that offers several services offered by the system. The detailed communication protocols, on the fly service management and load balancing parameters for the services are yet to discuss.
Internet of Things ( IoT), Remote health monitoring, Robotic surgery, Image analysis, Edge computing.
Scientific problems are categorized into optimization algorithms, numerical simulations, high-performance computing (HPC), internetworking, etc. Researchers and professionals use different computational approaches to model uncertainty, to predict outcomes, and support decision-making with higher accuracy. For instance, weather forecasting, drug discovery, financial modelling, traffic optimization, climate change studies, etc., rely heavily on computational problem-solving methods. As the complexities of global systems are increasing, computational techniques continue to evolve—combining interdisciplinary knowledge, automation and intelligent computation, for designing innovative, scalable, and sustainable solutions for the modern-day systems.
The rapid evolution of Artificial Intelligence (AI) has permeated virtually every sector of modern society including healthcare, industrial evolution, agriculture, entertainment and many more. The convergence of AI and healthcare has ushered in a new era of medical practice that characterized by enhanced accuracy, efficiency, and personalized patient care. As the healthcare industry grapples with challenges related to the increasing complexity of medical data and the growing demand for precise and timely interventions, AI presents itself as a promising solution. With rapid population growth and urbanization, it becomes very difficult for few doctors to treat so many patients. By leveraging AI's computational prowess and pattern recognition capabilities, healthcare providers are empowered to deliver more informed, tailored, and effective medical services. Fundamentally, AI is altering the way of medical professionals approach to diagnosis, treatment, and the interpretation of medical images.
In other sectors thereto, AI based computational models create huge opportunities to find computationally feasible solutions in renewable energy generation, transmission and management; in technology based capital market; insurance sector, and many more.
This paper delves into the transformative role of AI in healthcare, with a specific focus on its applications in healthcare management, and treatment. Section II of this article includes applications of computational intelligence in healthcare sector. In section III, computational methods adopted in industrial process development, section IV deals with IoT based smart home applications, and section V deals with computational methods in IoT based smart agriculture and aquaculture applications. Section VI describes a proposed model that can be tested before implementation in healthcare management followed by a brief discussion and future works in section VII.