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@article{171626,
        author = {Ganji Pramod Sambamoorthi and Dr. Pabba Parameshwar},
        title = {ASSESSING THE ROLE OF AI IN REVOLUTIONIZING PHARMACEUTICAL QUALITY ASSURANCE SYSTEMS FOR FASTER AND ACCURATE REGULATORY COMPLIANCE},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {913-920},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=171626},
        abstract = {The integration of AI in a pharmaceutical QA system is a paradigm-shifting change that can significantly ensure speed and accuracy levels for regulatory compliance that surpasses any other traditional method. However reliable, traditional QA methods would be unable to match or even keep pace with the fast-changing regulatory landscape or drive higher efficiency. AI technologies, including machine learning, natural language processing, and predictive analytics, have shown promise in automating processes, increasing accuracy, and simplifying compliance, addressing the critical bottlenecks in pharmaceutical QA systems.This article examines the issues in the pharmaceutical industry concerning quality standards and stringent regulatory requirements. It emphasizes innovative applications of AI in error detection, real-time quality monitoring, and regulatory documentation that collectively improve operational efficiency and reduce human error. Through AI, pharmaceutical companies can expedite the approval of products, save costs, and ensure the safety of patients, making it an essential tool for the future of QA systems.The paper also highlights the practical advantages of AI adoption. These include saving time in terms of the time to market, effective resource use, and more informed data-driven decisions. It also focuses on issues of ethics and skilled people to handle AI-based systems. The impact of AI on pharmaceutical QA marks the new era of compliance in regulation by which the pharmaceutical industry is better equipped to respond to global needs.},
        keywords = {Artificial Intelligence, Pharmaceutical Quality Assurance, Regulatory Compliance, Machine Learning, Predictive Analytics, Quality Monitoring, Automation,AI-Driven QA, Compliance Automation.},
        month = {January},
        }