Artificial Intelligence in Digital Transformation of Pharmacy: Opportunities, Challenges, and Future Directions.
Abstract
Artificial Intelligence (AI) is rapidly transforming the pharmaceutical industry, driving digital innovation in drug discovery, clinical trials, personalized therapies, and pharmacy operations. Traditional pharmaceutical approaches, though effective, are often lengthy, resource-intensive, and prone to human error. AI, using techniques such as machine learning, natural language processing, and predictive analytics, offers faster, more accurate, and cost-effective solutions [1,2]. This review discusses the importance of digital transformation in pharmacy, examines the shift from conventional methods to AI-based approaches, highlights benefits and challenges, and explores future directions. Despite its potential, AI adoption must overcome issues like data privacy, ethical concerns, and regulatory constraints [3,4]. Overall, AI holds promise for a more efficient, precise, and patient-centered pharmacy sector [5,6].
Fields of Study & Subjects
Artificial Intelligence in Healthcare and Education
Artificial Intelligence Applications
Computational Drug Discovery Methods
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 11 January 2026