ARTIFICIAL INTELLIGENCE (AI) IN PHARMACY PRACTICE: FROM DIAGNOSIS TO TREATMENT
DOI:
#10.25215/9358095784.18Abstract
Artificial intelligence (AI) is rapidly evolving the landscape of pharmaceutical practice, revolutionizing everything from diagnostics to therapy. This abstract highlight the multifaceted role of AI in pharmacy, emphasizing its vital contributions to improving patient care and optimizing healthcare delivery. The abstract begins with a study of AI applications in medication management and progresses to automated prescription filling and verification, adherence enhancement using AI-driven solutions, and real-time monitoring of medication usage. Moving forward, AI's impact on diagnosis and disease management is explored, demonstrating its ability to assist with diagnosis in pharmacy settings, anticipate diseases, stratify risks, and track disease development. Furthermore, the abstract emphasizes the importance of AI in pharmacovigilance and adverse event detection, highlighting its role in powering surveillance systems, detecting adverse drug reactions early, and increasing pharmacovigilance efforts through advanced algorithms. The abstract also discusses AI's disruptive impact on drug discovery and development, namely its ability to speed procedures such as virtual screening, lead optimization, and clinical trial design. Furthermore, the abstract investigates how AI enables personalized treatment methods by combining pharmacogenomics and predictive analytics to tailor therapies to particular patients, hence optimizing pharmaceutical regimes. "Metrics
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Published
2024-03-20
How to Cite
Hrithik Rikhav Mohan, Gargi Bora, Juganta Kumar Kalita. (2024). ARTIFICIAL INTELLIGENCE (AI) IN PHARMACY PRACTICE: FROM DIAGNOSIS TO TREATMENT. Redshine Archive, 11(02). https://doi.org/10.25215/9358095784.18
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Articles