A Comprehensive Survey on Artificial Intelligence Applications Across Critical Domains: Advances in Healthcare, Finance, Cybersecurity, and Emerging Fields

Authors

  • Olivia Bennett Computer Engineering, University of Michigan, Ann Arbor, MI, USA Author

DOI:

https://doi.org/10.63575/CIA.2026.40104

Keywords:

Artificial Intelligence, Deep Learning, NLP, Federated Learning, Healthcare AI, Financial AI, Cybersecurity, Privacy-Preserving AI, Explainable AI

Abstract

Artificial Intelligence (AI) has rapidly transformed numerous sectors including healthcare, finance, cybersecurity, transportation, and education. This comprehensive survey systematically reviews 120 recent publications spanning these domains, covering advances in natural language processing, deep learning, federated learning, reinforcement learning, differential privacy, and multi-modal data fusion. We organize the reviewed works in strict sequential order, with each reference cited exactly once, providing a coherent narrative that traces the evolution of AI methodologies across application areas. Tables and figures summarize the distribution of methods, domains, and privacy techniques. This survey serves as a unified reference for researchers and practitioners seeking to understand the breadth of contemporary AI applications.

Author Biography

  • Olivia Bennett, Computer Engineering, University of Michigan, Ann Arbor, MI, USA

     

     

Downloads

Published

2026-01-14

Issue

Vol. 4 No. 1 (2026): Journal of Computing Innovations and Applications

Section

Articles

License

Creative Commons License

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

How to Cite

[1]
Olivia Bennett, “A Comprehensive Survey on Artificial Intelligence Applications Across Critical Domains: Advances in Healthcare, Finance, Cybersecurity, and Emerging Fields”, Journal of Computing Innovations and Applications, vol. 4, no. 1, pp. 48–60, Jan. 2026, doi: 10.63575/CIA.2026.40104.