The medical device sector adheres to strict regulatory frameworks, requiring precise
adherence to quality assurance (QA) processes during the production process …

Increasing demands in industrial processes necessitate early fault detection, efficient
production, and quality assurance. In the manufacturing process, as more sensors, smart …

Automation and robotics have advanced significantly with the introduction of Industry 4.0,
revolutionizing the manufacturing environment. This study examines the evolution of product …

The rising cost of healthcare has become a critical issue globally, prompting the need for
innovative solutions to manage and reduce expenses while maintaining or improving the …

A phenomenal surge in data generation, accessibility, storage, and processing hardware
capacitates the artificial intelligence (AI)-based learning algorithms to solve the nature …

In many applied and industrial settings, the use of Artificial Intelligence (AI) for quality
technology is gaining growing attention. AI refers to the broad set of techniques which …

Summary Artificial Intelligence (AI) and Machine learning (ML) are the emerging areas that
have a major potential to boost the healthcare services. AI/ML modalities have been …

Quality Assurance (QA) aims to prevent mistakes and defects in manufactured products and
avoid problems when delivering products or services to customers. QA for AI systems …

Artificial intelligence (AI) is being used more often across numerous sectors, including
healthcare. Researchers and professionals are interested in (AI) application in the …

The convergence of Artificial Intelligence (AI) and pharmaceutical manufacturing signifies a
pivotal juncture in the industry's evolution, offering unprecedented opportunities to bolster …