Revolutionizing Healthcare, Risk Management, and Industrial Efficiency through AI-Driven Analytics, Cybersecurity, and Heat Transfer Optimization
Year: 2025
Type: article
Abstract: The integration of AI-driven analytics, cybersecurity, and heat transfer optimization is revolutionizing healthcare, risk management, and industrial efficiency. AI enhances data-driven decision-making, enabling predictive analytics for improved diagnostics, risk assessment, and operational efficiency. Cybersecurity safeguards critical digital infrastructures, protecting sensitive data from evolving threats in healthcare and industrial sectors. Meanwhile, heat transfer optimization enhances energy efficiency, ensuring optimal thermal management in medical equipment, manufacturing processes, and energy systems. The synergy of these interdisciplinary technologies fosters innovation, resilience, and sustainability, driving progress in modern industries. However, challenges such as ethical concerns, regulatory compliance, and implementation barriers must be addressed to maximize their potential. Future research will focus on enhancing AI transparency, strengthening cybersecurity frameworks, and advancing thermal management techniques. This multidisciplinary approach promises to transform industries by improving security, efficiency, and sustainability, paving the way for a smarter, safer, and more resilient future.
Authors: Nahid Neoaz, Mohammad Hasan Amin
Institutions: Wilmington University, Kettering University
Language: English
Topic: Internet of Things and AI
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4407871396