George Edison (2026) Comprehensive Review of Artificial Intelligence Techniques in Healthcare, Electrical Systems, Data Science, Computer Vision, and Block chain Integration. American Journal of Artificial Intelligence and Computing, 2 (1). pp. 153-176.
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Abstract
Artificial Intelligence (AI) is a transformative technology, broadly utilized in the healthcare, electrical systems, data science, computer vision and block chain integration. This review examines several crucial AI technologies such as machine learning, deep learning, and reinforcement learning, and outlines their applications in enhancing diagnostics, energy management, predictive analytics, visual recognition, and secure data systems. AI contributes to efficiency, accuracy, and automation in a wide range of areas, which allows for intelligent decision-making and real-time processing. While it has some benefits, there are also several drawbacks like data privacy, bias, interpretability, and computational complexity. AI is poised to become a major force in global technological progress, with further advancements expected in the future, such as the development of explainable AI, edge computing, and quantum machine learning.
| Item Type: | Article |
|---|---|
| Date Deposited: | 14 Oct 2026 09:02 |
| Last Modified: | 14 Oct 2026 09:02 |
| URI: | https://repository.globalsciencepress.com/id/eprint/624 |
