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Author(s): Quazi Kamil Hafiz Anees Ahemad1, Dr. Majaz Quazi2, Quazi Wasil3, Dr. G. J. Khan4

Email(s): 1quazikamil@gmail.com

Address:

    J.I.I.U’S Ali-Allana College of Pharmacy Akkalkuwa, Dist- Nandurbar (425415) Maharashtra, India.

Published In:   Volume - 3,      Issue - 3,     Year - 2024

DOI: Not Available

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ABSTRACT:
Artificial intelligence (AI) is the simulation of human intelligence by technology, particularly computer systems. Learning, planning, self-correction, problem-solving, knowledge representation, motion, manipulation, and creativity are all included in this.The first neural computer was developed by Marvin Minsky and Dean Edmonds in 1951, but Donald Hebb initially proposed a value-changing rule for the connections of artificial neurons in 1949. Artificial intelligence (AI), which refers to the use of computer systems to carry out operations that ordinarily need human intellect , is pervasive in 21st-century culture and is widely used in the medical field.. Artificial intelligence (AI) has become more prevalent in society's numerous spheres, particularly the pharmaceutical sector. the application of AI to a variety of pharmaceutical industry fields, such as drug discovery and development, drug repurposing, increasing pharmaceutical productivity, and clinical trials, among others; this usage of AI lessens the workload of human workers while also attaining goals quickly. The traditional method of trial and error can be replaced in this area by AI. Problems with stability, dissolution, porosity, and other formulation design-related concerns can be solved using a variety of computational techniques.AI plays a significant role in many areas of pharmacy, including drug discovery, drug delivery formulation development, marketing, management, and marketing. The pharmaceutical sector has used AI-based drug development extensively, and it is seen as a powerful alternative to the traditional process. Chemistry, material science, chemical engineering, computer science, computer vision, and machine learning are just a few of the disciplines that are combined in the AI method.

Cite this article:
Quazi Kamil Hafiz Anees Ahemad, Dr. Majaz Quazi, Quazi Wasil, Dr. G. J. Khan Artificial Intelligence in Pharmacy: A Review. IJRPAS, May-June 2024; 3(3):53-63.


REFERENCES:

 

1)    Harkut DG, Kasat K. Introductory chapter: artificial intelligence-challenges and applications. Artificial Intelligence-Scope and Limitations. 2019 Mar 19.

2)    Benko A, Lányi CS. History of artificial intelligence. InEncyclopedia of Information Science and Technology, Second Edition 2009 (pp. 1759-1762). IGI Global.

3)    Cobaugh DJ, Thompson KK. Embracing the role of artificial intelligence in the medication-use process. American Journal of Health-System Pharmacy. 2020 Nov 16;77(23):1915-6.

4)    Paul D, Sanap G, Shenoy S, Kalyane D, Kalia K, Tekade RK. Artificial intelligence in drug discovery and development. Drug discovery today. 2021 Jan;26(1):80.

5)    Patel SS, Shah SA. Artificial intelligence: Comprehensive overview and its pharma application. Asian Journal of Pharmacy and Technology. 2022;12(4):337-48.

6)    Kamdar JH, Jeba Praba J, Georrge JJ. Artificial intelligence in medical diagnosis: methods, algorithms and applications. Machine Learning with Health Care Perspective: Machine Learning and Healthcare. 2020:27-37.

7)    Sarwar S, Dent A, Faust K, Richer M, Djuric U, Van Ommeren R, Diamandis P. Physician perspectives on integration of artificial intelligence into diagnostic pathology. NPJ digital medicine. 2019 Apr 26;2(1):28.

8)    Jiang J, Ma X, Ouyang D, Williams III RO. Emerging artificial intelligence (ai) technologies used in the development of solid dosage forms. Pharmaceutics. 2022 Oct 22;14(11):2257.

9)    Ball R, Dal Pan G. “Artificial Intelligence” for Pharmacovigilance: Ready for Prime Time?. Drug Safety. 2022 May;45(5):429-38.

10)  Kumar M, Nguyen TN, Kaur J, Singh TG, Soni D, Singh R, Kumar P. Opportunities and challenges in application of artificial intelligence in pharmacology. Pharmacological Reports. 2023 Jan 9:1-6.

11)  Kar NR. ADVANCEMENT OF ARTIFICIAL INTELLIGENCE IN PHARMACY: A REVIEW.

12)  Buch VH, Ahmed I, Maruthappu M. Artificial intelligence in medicine: current trends and future possibilities. British Journal of General Practice. 2018 Mar 1;68(668):143-4.

13)  Patel SS, Shah SA. Artificial intelligence: Comprehensive overview and its pharma application. Asian Journal of Pharmacy and Technology. 2022;12(4):337-48.

14)  Nelson SD, Walsh CG, Olsen CA, McLaughlin AJ, LeGrand JR, Schutz N, Lasko TA. Demystifying artificial intelligence in pharmacy. American Journal of Health-System Pharmacy. 2020 Oct 1;77(19):1556-70.

15)  Khanna D. Use of artificial intelligence in healthcare and medicine. International Journal of innovations in Engineering Research and technology. 2018 Dec.

 

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