• Sandeep Singh
• Meenakshi Kukshal
• Shivanand M. Patil

Artificial Intelligence (AI) is slowly transforming the pharmaceutical sector. AI applications are expanding to achieve quality, accuracy, efficiency, high efficacy, rapid and bulk production of drug, time saving, economic growth etc. This review article covers AI technologies and their applications, Classification of AI, Future scope of AI, Milestones of AI etc. Artificial intelligence (AI) is a branch of study concerned with intelligent machine learning, primarily intelligent computer programmers that produce outcomes in a manner comparable to human attention. AI refers to a digital computers or a computer-controlled robot's ability to do tasks that are typically associated with intelligent beings. Artificial intelligence's usage in pharmaceutical technology has grown in recent years, and it can save time and money while also improving understanding of the links between various formulations and process parameters. Artificial Intelligence (AI) is concerned with the creation of intelligent models that aid in the imagining of knowledge, the solving of problems, and the making of decisions. AI is now being used in a variety of pharmacy domains, including drug discovery, drug delivery formulation development, polypharmacology, hospital pharmacy, and so on. Artificial Neural Networks (ANNs), Robotics, are used in drug discovery and drug delivery formulation development.

Artificial Intelligence (AI), Drug Discovery, Drug Delivery, Research and Development(R&D), Robotics, Pharmacy, Machines Learning (ML),

"Artificial Intelligence in Pharmacy ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.a544-a550, May-2022, Available :http://www.jetir.org/papers/JETIR2205072.pdf

"Artificial Intelligence in Pharmacy ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppa544-a550, May-2022, Available at : http://www.jetir.org/papers/JETIR2205072.pdf