ADVANCEMENT OF ARTIFICIAL INTELLIGENCE IN HOSPITAL PHARMACY: A REVIEW

Main Article Content

Abdul Haseeb T S, Fatimah. Abushoumi, Zakariya Al Dobayan, Fuad Al-Ghamdi, Johns Hopkins Aramco , Dhahran, Saudi Arabia

Keywords

Artificial intelligence, drug discovery, hospital pharmacy, artificial Neural Networks, quantitative structure-property relationships, healthcare industry

Abstract

The goal of artificial intelligence (AI) is to create intelligent modeling that aids in knowledge  envisioning, problem-solving, and decision-making. Artificial intelligence (AI) was previously  only used in the field of engineering, but in recent years, it has become increasingly essential in many areas of pharmacy, including drug discovery, the development of drug delivery formulations, management, marketing, quality assurance, hospital pharmacy, personalized medicine, patient monitoring and care, etc. Different Artificial Neural Networks (ANNs), such as Deep Neural Networks (DNNs) or Recurrent Neural Networks (RNNs), are used in the 
creation of drug delivery formulations

Abstract 26 | PDF Downloads 15

References

1. Chen M, et al. Artificial intelligence in healthcare: An essential guide for health leaders.
Healthc Manage Forum 2020; 33(1): 10-18.
2. Bajwa J, et al. Artificial intelligence in healthcare: Transforming the practice of
medicine. Futur Healthc J 2021; 8: e188–e194.
3. Raviprolu A, et al. Role of Artificial Intelligence in healthcare. Int J Eng Technol 2017;
5(4): 115–117.
4. Bi WL, et al. Artificial intelligence in cancer imaging: Clinical challenges and
applications. Cancer J Clin 2019; 69(2): 127–157.
5. Yamini DS, et al. Artificial intelligence in healthcare. Ind J Pharm and Pharmacol 2021;
8(2): 102–115.