Transformative Applications of Ai in Emerging Technology Sectors: a Comprehensive Meta-analytical Review of Use Cases in Healthcare, Retail, and Cybersecurity
Year: 2025
Type: article
Abstract: This review explores the transformative applications of Artificial Intelligence (AI) across three major emerging technology sectors: healthcare, retail, and cybersecurity. By synthesizing findings from recent empirical studies, industry reports, and technological evaluations, the review highlights how AI technologies such as machine learning, natural language processing, and computer vision are revolutionizing operations, enhancing efficiency, and enabling predictive capabilities in these domains. In healthcare, AI is driving diagnostic accuracy, personalized treatment, and operational automation. In retail, AI enhances customer experience, demand forecasting, and inventory optimization. In cybersecurity, AI strengthens threat detection, anomaly identification, and incident response. The review also identifies sector-specific challenges, including data privacy, model interpretability, and regulatory constraints. A comparative analysis reveals that while AI adoption is accelerating across all three sectors, tailored implementation strategies and ethical considerations are critical for sustainable integration. This paper provides a foundational understanding for researchers and practitioners aiming to harness AI's full potential in next-generation technological ecosystems.
DOI: 10.63125/45zpb481
Authors: Takbir Hossen Sarker, Abdullah Al Maruf, Siful Islam, Md Mostafizur Rahman
Institution: Lamar University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4411181829