Author(s):
Suyash Ingale, Nikhil Shrisunder, Ganesh Gophane, Avinash Birajdar
Email(s):
suyashingle1806@gmail.com
DOI:
10.52711/2231-3915.2024.00008
Address:
Suyash Ingale*, Nikhil Shrisunder, Ganesh Gophane, Avinash Birajdar
Gandhi Natha Rangji College of Pharmacy, Solapur, Maharashtra, India.
*Corresponding Author
Published In:
Volume - 14,
Issue - 1,
Year - 2024
ABSTRACT:
The term artificial intelligence (AI) describes how computers, particularly computer systems, may simulate processes involving human intelligence. These processes include learning—acquiring knowledge and applying rules to apply it—reasoning—applying rules to draw inferences or resolve issues—and self-correction. Artificial intelligence (AI) technologies allow robots to do activities like interpreting natural language, identifying patterns, making decisions, as well as learning from experience that normally need human intelligence. Healthcare professionals, politicians, and academics must work together to create strong frameworks that guarantee the ethical and responsible use of AI as the pharmaceutical industry experiences a paradigm shift toward increased integration of this technology. The paper concludes by outlining future prospects and potential challenges, emphasizing the need for ongoing dialogue and collaboration to maximize the benefits of AI in advancing pharmacy practices and ultimately improving patient outcomes.
Cite this article:
Suyash Ingale, Nikhil Shrisunder, Ganesh Gophane, Avinash Birajdar. Ascent of Artificial Intelligence (AI) in Pharmacy. International Journal of Technology. 2024; 14(1):54-8. doi: 10.52711/2231-3915.2024.00008
Cite(Electronic):
Suyash Ingale, Nikhil Shrisunder, Ganesh Gophane, Avinash Birajdar. Ascent of Artificial Intelligence (AI) in Pharmacy. International Journal of Technology. 2024; 14(1):54-8. doi: 10.52711/2231-3915.2024.00008 Available on: https://ijtonline.com/AbstractView.aspx?PID=2024-14-1-8
REFERENCES:
1. Honavar, V., Artificial intelligence: An overview. Artificial Intelligence Research Laboratory, 2006: p. 1-14.
2. Kawal, F., A Tour to the World of Artificial Intelligence. Cybernomics, 2020. 2(5): p. 33-35.
3. Das, S., et al., Applications of artificial intelligence in machine learning: review and prospect. International Journal of Computer Applications, 2015. 115(9).
4. Yang, X.; Wang, Y.; Byrne, R.; Schneider, G.; Yang, S. Concepts of Artificial Intelligence for Computer-Assisted Drug Discovery. Chem. Rev. 2019, 119, 10520–10594.
5. OECD. Artificial Intelligence in Society; OECD: Paris, France, 2019.
6. Musib, M., et al., Artificial intelligence in research. science, 2017. 357(6346): p. 28-30.
7. Ganapathy, K., Abdul S.S., and Nursetyo A.A., Artificial intelligence in neurosciences: A clinician’s perspective. Neurology India, 2018. 66(4): p. 934.
8. Davoudi, A., et al., The intelligent ICU pilot study: using artificial intelligence technology for autonomous patient monitoring. arXiv preprint arXiv:1804.10201, 2018.
9. Davenport, T.; Kalakota, R. The potential for artificial intelligence in healthcare. Futur. Healthc. J. 2019, 6, 94–98.
10. Russell, S., Dewey D., and Tegmark M., Research priorities for robust and beneficial artificial intelligence: an open letter. AI Magazine, 2015. 36(4).
11. Ramesh, A.N.; Kambhampati, C.; Monson, J.R.; Drew, P.J. Artificial intelligence in medicine. Ann. R. Coll. Surg. Engl. 2004, 86, 334.
12. Thakur, A.; Mishra, A.P.; Panda, B.; Rodríguez, C.S.; Gaurav, I.; Majhi, B. Application of Artificial Intelligence in Pharmaceutical and Biomedical Studies. Curr. Pharm. Des. 2020, 26, 3569–3578.
13. Dasta, J., Application of artificial intelligence to pharmacy and medicine. Hospital pharmacy, 1992. 27(4): p. 312-5, 319.
14. Raza MA, Aziz S, Noreen M, Saeed A, Anjum I, Ahmed M, Raza SM. Artificial Intelligence (AI) in Pharmacy: An Overview of Innovations. Innov Pharm. 2022 Dec 12;13(2):10.
15. Mak, K.-K. and Pichika M.R., Artificial intelligence in drug development: present status and future prospects. Drug discovery today, 2019. 24(3): p. 773-780.
16. Das, S., Dey R., and Nayak A.K., Artificial Intelligence in Pharmacy. Indian Journal of pharmaceutical Education and Research, 2021. 55(2): p. 304-318.
17. Shivangee Sabharwal, Reetuparna Mukherjee, Ayush Shukla, Tamizharasi, Mythili T. Indoor Assistance for Elderly and Disabled People. Research J. Pharm. and Tech. 2017; 10(7): 2163-2172.
18. Henstock, P.V., Artificial intelligence for pharma: time for internal investment. Trends in pharmacological sciences, 2019. 40(8): p. 543-546.
19. Vandana Sorathiya, Pankaj Kapupara, Ketan Shah. Technology Based Patient Education Information System. Research J. Pharm. and Tech. 9(1): Jan., 2016; Page 101-107.
20. Nelson, S.D., et al., Demystifying artificial intelligence in pharmacy. American Journal of Health-System Pharmacy, 2020. 77(19): p. 1556-1570.
21. Kostić, E.J., Pavlović D.A., and Živković M.D., Applications of artificial intelligence in medicine and pharmacy: Ethical aspects. Acta Medica Medianae, 2019. 58(3): p. 128-137.
22. Bhuvaneswari R, Umamaheswari. S. e-Health Care: A Techno Medical Revolution. Research J. Pharm. and Tech. 2018; 11(3): 964-968.
23. T M Kalyankar, A C Jadhav, S M Mhetre. Recent Advances in Coupling Technology in Analysis of Natural Product. Research J. Pharm. and Tech. 5(9): September 2012; Page 1145-1153.
24. Sahu A, Mishra J, Kushwaha N. Artificial Intelligence (AI) in Drugs and Pharmaceuticals. Comb Chem High Throughput Screen. 2022;25(11):1818-1837.
25. Manikiran, S. and Prasanthi N., Artificial Intelligence: Milestones and Role in Pharma and Healthcare Sector. Pharma times, 2019. 51: p. 9-56.
26. Yogita Chowdhary, Babita Kumar. Technology Transfer Agency in India. Asian Journal of Pharmacy and Technology. 2023; 13(1):55-6.
27. Vyas, M. Artificial intelligence: The beginning of a new era in pharmacy profession. Asian J. Pharm. 2018, 12, 72–76.
28. Ankita Ramkrupal Singh, Ravi Tiwari. A Review on Pharamcovigilance a Powerful Weapon for Tracking Safety and Efficacy of Drugs. Research J. Pharm. and Tech. 4(6): June 2011; Page 867-871.
29. Bhupendra Shrestha, Hema Basnett, P Mohan Raj, Sita Sharan Patel, Mrinmay Das, Neelesh Kumar Verma. Process Analytical Technology: A Quality Assurance Tool. Research J. Pharm. and Tech. 2(2): April.-June.2009,;Page 225-227.
30. Hiren M. Marvaniya, Divyesh J. Vanparia, Renu Chauhan, Dhrubo Jyoti Sen. Process Analytical Technology (PAT): An Initiative Objective for Pharmaceutical C-GMP for the 21st Century. Research J. Science and Tech. 2010; 2(6): 129-133.
31. Vandana Sorathiya, Pankaj Kapupara, Ketan Shah. Technology Based Patient Education Information System. Research J. Pharm. and Tech. 9(1): Jan., 2016; Page 101-107.
32. Mitesh D Phale. PAT: A New Weapon for Pharmaceutical Industry. Research J. Pharm. and Tech.2 (4): Oct.-Dec. 2009; Page 611-616.