Artificial Intelligence and Deep Learning in Healthcare, Cyber security, and Food Systems: A Comprehensive Review of Applications, Challenges, and Future Directions

Abstract

The implementation of Artificial Intelligence in healthcare alongside cyber security and food systems produces enhanced efficiency and security functions together with automated processes. Healthcare organizations use AI-powered diagnostic instruments together with predictive data tools and individualized medical approaches to enhance therapeutic results while shortening drug development cycles. AI applications need proper solution to algorithmic biases while protecting data privacy and respecting ethical values for the sake of transparent and fair implementation. Security frameworks which are resilient to emerging exploitative AI techniques together with human oversight have become essential because AI-powered threat detection and automated responses enhance cyber security defenses against cyber-attacks. The upcoming stage of AI advancement will concentrate on three main areas which combine explain ability, trustworthy systems and knowledge transfer between different sectors. Global healthcare advancement along with improved cyber security protection and enhanced food system management are possible through interdisciplinary AI techniques and appropriate challenge management which ensures transparency, security and sustainable practices.