Artificial intelligence in pharmacy: applications, challenges, and future perspectives
Year: 2025
Type: article
Abstract: This comprehensive review examines the multifaceted applications of Artificial Intelligence (AI) across the pharmaceutical industry, including drug discovery, clinical trials, pharmacovigilance, personalized medicine, and pharmaceutical manufacturing. The article also investigates the technical, ethical, regulatory, and economic challenges associated with AI implementation. Future prospects such as digital twin technologies, quantum computing, and biologically interfaced AI are discussed. The study includes systematic analysis of 157 Scopus-indexed publications, expert assessments, and policy frameworks. The paper concludes with specific strategic recommendations for Uzbekistan to establish itself as a regional AI leader in pharmaceutical innovation.
Author: E.D. Raxmonov
Institution: Tashkent Pharmaceutical Institute
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W6912169560
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