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WJPR Citation
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| All | Since 2020 | |
| Citation | 8502 | 4519 |
| h-index | 30 | 23 |
| i10-index | 227 | 96 |
A REVIEW ARTICLE ON INNOVATIVE ARTIFICIAL INTELLIGENCE IN PHARMACY
Nikita Pramod Lawande*, B. L. Chopde and Megha T. Salve
Abstract With its creative solutions to enhance drug development, clinical trials, customized treatment, and pharmacy operations, artificial intelligence (AI) is rapidly changing the pharmaceutical sector. AI technologies such as machine learning (ML), natural language processing (NLP), and data analytics enable the analysis of vast datasets, accelerating the identification of potential drug candidates, optimizing treatment regimens, and enhancing patient outcomes. In drug development, AI models can predict the efficacy and safety of compounds, reduce the time and cost of clinical trials, and facilitate precision medicine by tailoring therapies to individual genetic profiles. In pharmacy practice, AI-powered systems can support medication management, identify drug interactions, and assist in clinical decision-making. Furthermore, AI-driven automation and robotics are streamlining pharmacy workflows, improving accuracy, and reducing human errors. While the potential of AI in pharmacy is vast, challenges such as data privacy, algorithm transparency, and regulatory approval must be addressed for its widespread adoption. This abstract highlights the key roles AI plays in modern pharmacy and its future implications for improving healthcare delivery. Keywords: Artificial Intelligence in Pharmacy, Artificial Intelligence in Drug Discovery and Development, AI in Personalized Medicine, AI in Adverse Drug Reaction, AI in Pharmacy Operations, AI in Healthcare. [Full Text Article] [Download Certificate] |
