Transformative trends: A comprehensive review on role of artificial intelligence in healthcare and pharmaceutical research

Abstract

Artificial intelligence (AI) represents a specialized field within computer science, empowering machines to efficiently process and analyze intricate data. The surge in AI-focused research has notably accelerated, particularly in its growing role within healthcare services and research. This review delves into the manifold opportunities and challenges that AI presents in the realms of healthcare and pharmaceutical research. To compile relevant literature, a comprehensive search was conducted across databases such as PubMed, Science Direct, and Google Scholar. The article extensively explores the application of AI in diverse healthcare aspects such as disease diagnosis, digital therapy, personalized treatment, drug discovery, and the anticipation of epidemics or pandemics. The predominant AI technologies employed include deep learning and neural networks. The review emphasizes the pivotal role of advancing AI technologies in fostering rapid and cost-effective healthcare and pharmaceutical research. The anticipated outcome is an improved delivery of services to the general public, reflecting the transformative impact of AI on scientific endeavors.