Year: 2025
Type: article
Abstract: The increasing reliance on healthcare software for clinical diagnostics, patient management, and hospital operations underscores the need for rigorous and efficient testing methodologies. Artificial Intelligence (AI) has emerged as a transformative force in the domain of software testing, particularly within high-stakes industries like healthcare. This paper investigates the application of AI techniques in automating software testing processes for healthcare systems. It emphasizes how AI improves test efficiency, ensures compliance, and reduces human error, while addressing the challenges of regulatory constraints and data privacy. Through analysis of existing tools and case implementations, the paper outlines current capabilities, risks, and future research directions.
Author: Jamshina V
Language: English
Subfield: Software
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4410207197