Artificial Intelligence-Driven Quality Assurance in Pharmaceutical Manufacturing

In the pharmaceutical industry, artificial intelligence (AI) is becoming a game-changing technology that allows for better quality control, process optimization, and data-driven decision-making. Strict regulatory restrictions, high production costs, and the necessity for constant product quality provide obstacles for the pharmaceutical business. By examining massive datasets and spotting trends that improve production efficiency, technologies like machine learning, deep learning, and predictive analytics provide answers. Al's function in pharmaceutical production is covered in this review study, with an emphasis on decision-making and quality control procedures. Applications including supply chain management, automated visual inspection, predictive maintenance, and process optimization are highlighted. The benefits, difficulties, and chances for Al use in the pharmaceutical industry are also covered in the article. It is anticipated that the incorporation of Al with cutting-edge technologies like big data analytics and the Internet of Things would transform pharmaceutical manufacturing and guarantee increased product efficiency, quality, and safety.