Securing, Optimizing, and Innovating: A Comprehensive Review of AI in Healthcare Cybersecurity, Analytics, and Supply Chain Ecosystems
DOI:
https://doi.org/10.70445/gtst.2.1.2026.169-192Keywords:
AI, Machine learning, Cybersecurity, Supply Chain, Data Analytics, Product Management, predictive analyticsAbstract
Artificial Intelligence (AI) has become an influential movement in the fields of healthcare, cybersecurity, data analytics, product management, and supply chain ecosystems. With the help of machine learning, deep learning, and predictive analytics, AI allows making decisions proactively, being efficient in their operations, and improving service delivery. In the medical field, AI assists in diagnostic, patient surveillance, and individual treatment, and also enhances cybersecurity by detecting anomalies and eliminating threats. AI is used in supply chains to optimize demand forecasting, inventory management, and logistics and make supply chains resilient and economical. This review examines the uses of AI, methods of its integration, issues, and the future direction of AI, which is used to develop secure, adaptive, and intelligent systems to help in driving innovation in various areas that are critical.
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Copyright (c) 2026 Alexandra Harry (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.