AI-Driven Pharmacy: Current Applications And Future Prospects

  • Sakshi Aole
  • Mughisa Nagori
  • Shraddha Pawar
  • Shivani Soni
  • Taru Shrivastava
  • Hemadri Sharma
Keywords: Artificial Intelligence, Pharmacy, Drug Discovery, Personalized Medicine, Inventory Management, Patient Counseling, Robotics, Blockchain, Drug Safety Quality Control

Abstract

Artificial Intelligence (AI) is transforming the pharmacy industry by making processes more efficient, accurate, and personalized. Today, AI is used in various areas such as drug discovery, personalized medicine, inventory management, and patient counseling. AI algorithms can sift through massive datasets to find potential new drugs, predict how patients will respond to treatments, and create optimized treatment plans. In personalized medicine, AI helps tailor treatments to individual patients, improving outcomes and minimizing side effects. AI also enhances inventory management by ensuring optimal stock levels and reducing waste. Additionally, AI-driven chatbots and virtual assistants provide patients with timely information and support. Looking ahead, AI’s integration with advanced technologies like robotics and blockchain promises to further enhance drug safety, quality control, and regulatory compliance. The ongoing development of AI is set to make pharmacy practice more efficient, patient-focused, and innovative.

Author Biographies

Sakshi Aole

Mahakal Institute of Pharmaceutical Studies, Ujjain, Behind Air Strip, Datana, Ujjain

Mughisa Nagori

Mahakal Institute of Pharmaceutical Studies, Ujjain, Behind Air Strip, Datana, Ujjain

Shraddha Pawar

Mahakal Institute of Pharmaceutical Studies, Ujjain, Behind Air Strip, Datana, Ujjain

Shivani Soni

Mahakal Institute of Pharmaceutical Studies, Ujjain, Behind Air Strip, Datana, Ujjain

Taru Shrivastava

Mahakal Institute of Pharmaceutical Studies, Ujjain, Behind Air Strip, Datana, Ujjain

Hemadri Sharma

Mahakal Institute of Pharmaceutical Studies, Ujjain, Behind Air Strip, Datana, Ujjain

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Published
2024-09-09
How to Cite
Sakshi Aole, Mughisa Nagori, Shraddha Pawar, Shivani Soni, Taru Shrivastava, & Hemadri Sharma. (2024). AI-Driven Pharmacy: Current Applications And Future Prospects. Revista Electronica De Veterinaria, 25(1), 1172-1180. https://doi.org/10.69980/redvet.v25i1.840
Section
Articles