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WJPR Citation
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| All | Since 2020 | |
| Citation | 8502 | 4519 |
| h-index | 30 | 23 |
| i10-index | 227 | 96 |
ARTIFICIAL INTELLIGENCE IN PHARMACY: ENHANCING EFFICIENT DATA PROCESSING AND HEALTHCARE SOLUTIONS
Prachi Apparao Khatal*, Rekha Goukonde and Dr. Gajanan Sanap
Abstract An important development in data processing and medical solutions is the use of artificial intelligence (AI) in pharmacy. This technology is changing the pharmaceutical industry by improving patient management, drug development, and discovery. Large-scale dataset analysis is made possible by AI techniques like machine learning and natural language processing, which increase productivity and lower expenses. Algorithms enhance clinical trial results, patient safety, and adherence, while AI's predictive analytics capabilities support personalized treatment. Notwithstanding these advantages, issues like algorithmic bias, data privacy, and the requirement for regulatory compliance still need to be resolved. With ongoing technological developments, interdisciplinary partnerships, and ethical considerations aimed at enhancing patient care and operational effectiveness in healthcare, the future of AI in pharmacy appears bright. Keywords: Artificial intelligence, Drug discovery, Drug delivery research, Hospital pharmacy, Drug adherence and dosage, Challenges to adoption of AI in pharma industry. [Full Text Article] [Download Certificate] |
