Revolutionizing Healthcare, Risk Management, and Industrial Efficiency through AI-Driven Analytics, Cybersecurity, and Heat Transfer Optimization

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

Institutions

Publication Details

Published
2025-02-01
DOI
https://doi.org/10.70445/giaic.1.2.2025.18-36
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Revolutionizing Healthcare, Risk Management, and Industrial Efficiency through AI-Driven Analytics, Cybersecurity, and Heat Transfer Optimization

M. H. S. Amin, Nahid Neoaz
1 links
Impact of AI and Big Data on Business and Society
article

Revolutionizing Healthcare, Risk Management, and Industrial Efficiency through AI-Driven Analytics, Cybersecurity, and Heat Transfer Optimization

M. H. S. Amin, Nahid Neoaz
article en

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.

Vol. 1(2)
Wilmington University (US), Kettering University (US)
Openalex Percentile: Top 97%
Impact of AI and Big Data on Business and Society
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.