AI-Based Medicine Quality Checking: Observation Method and Process for Pharmaceutical Safety Enhancement

Authors

  • Ahmed Bin Osman

Keywords:

Artificial intelligence, pharmaceutical quality control, computer vision, drug safety, defect detection, counterfeit medicine identification

Abstract

The pharmaceutical industry faces critical challenges in ensuring medicine quality and safetythroughout the production and distribution chain. Counterfeit medications, contamination,packaging defects, and degradation issues pose significant risks to patient health and publicsafety. This research presents an AI-based medicine quality checking system that integrates computer vision, machine learning

References

Anderson, K. and Miller, T. (2023) 'Regulatory frameworks for artificial intelligence in pharmaceutical manufacturing: Current status and future directions', Pharmaceutical Technology, 47(2), pp. 34-52.

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Published

2024-08-16

How to Cite

Ahmed Bin Osman. (2024). AI-Based Medicine Quality Checking: Observation Method and Process for Pharmaceutical Safety Enhancement . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 7448–7459. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4714

Issue

Section

Articles