Title:Artificial Intelligence in Pharmaceutical Field - A Critical Review
Volume: 18
Issue: 10
Author(s): Maithri H. Shanbhogue , Shailesh Thirumaleshwar*, Pramod Kumar Tegginamath and Hemanth Kumar Somareddy
Affiliation:
- Department of Pharmaceutics, JSS College of Pharmacy, Sri Shivarathreeshwara Nagara, JSS Academy of Higher Education and Research, Sri Shivarathreeshwara Nagara, Mysuru-570015, Karnataka,India
Keywords:
Artificial intelligence, pharmaceutical sciences, drug development, data management, machine learning, computer-aided system.
Abstract: Artificial intelligence is an emerging sector in almost all fields. It is not confined only to
a particular category and can be used in various fields like research, technology, and health. AI
mainly concentrates on how computers analyze data and mimic the human thought process. As
drug development involves high R & D costs and uncertainty in time consumption, artificial intelligence
can serve as one of the promising solutions to overcome all these demerits. Due to the availability
of enormous data, there are chances of missing out on some crucial details. To solve these issues,
algorithms like machine learning, deep learning, and other expert systems are being used. On
successful implementation of AI in the pharmaceutical field, the delays in drug development, failure
at the clinical and marketing level can be reduced. This review comprises information regarding
the development of AI, its subfields, its overall implementation, and its application in the pharmaceutical
sector and provides insights on challenges and limitations concerning AI.
