ARTIFICIAL INTELLIGENCE (AI) IN PHARMACY: AN OVERVIEW OF INNOVATIONS

Abstract

The definition of artificial intelligence (AI) continues to evolve but can be thought of as a simulation of human intelligence, specifically in terms of the way humans act and think. Machine learning (ML) is a technique of AI that involves training a model (or algorithm) to make predictions based on data input. AI has come a long way in healthcare, having played significant roles in data and information storage and management – such as patient medical histories, medicine stocks, sale records, and so on; automated machines; software and computer applications like diagnostic tools such as MRI radiation technology, CT diagnosis and many more have all been created to aid and simplify healthcare measures. The digital health industry is growing at an extraordinary pace and has undoubtedly been accelerated by the COVID-19 pandemic. “Digital health” and “artificial intelligence” have become buzzwords both within and outside of health care. As we begin to see more of these technologies implemented in health care settings, it is essential for pharmacists to be involved. Inarguably, AI has revolutionized healthcare to be more effective and efficient and the pharmacy sector is not left out. Artificial Intelligence (AI) emerged as an intervention for data and number-related problems. During the past few years, a considerable amount of increasing interest in the uses of AI technology has been identified for analyzing as well as interpreting some important fields of pharmacy like drug discovery, dosage form designing, polypharmacology, and hospital pharmacy.