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Artificial intelligence in pharmacy
Corresponding Author(s) : SK. Farahan Subahan
International Journal of Allied Medical Sciences and Clinical Research,
Vol. 12 No. 3 (2024): 2024 Volume -12 - Issue 3
Abstract
A branch of computer science called artificial intelligence makes it possible for machines to function well. By taking on complex data processing Duties, its use in pharmaceutical technology has grown, improving workflow efficiency, lowering operating cost, and promoting safety, accuracy, and Productivity. It could Potentially save time and money in addition to assisting us in better understanding the connections Between various formulations and process parameters. Artificial intelligence (AI) research has been shown to be able to analyze and interpret various critical pharmacy fields, including drug development dosage forms design, and hospital pharmacy. Thanks to artificial intelligence’s significant contributions to the management and preservation of data and information, the healthcare industry has seen impressive advancements
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- Dastha JF, Application of artificial intelligence to pharmacy and medicine Hospital. 1992:27:312-322.
- Sunarti, Rahman F.F, Nautical M, Risky M, Febriyanto K, Masnina R, Artificial intelligence in healthcare Opportunities and Risk for future, 2021, 35: 567-57.
- Toepper M, Dissociating Normal Aging from Alzheimer's Disease, 2017; 57:331-352.
- http://www.genengnews.com/gen-edge/covid-19-putsspotlight-on-artificial-intelligence.
- Sang F, Bang Y, Z hi H, Artificial intelligence in healthcare. Past, present and future, Stroke Vase neural, 2017;2(4):230-243.
- Agatonovic-Kustrin S, Beresford R, Basic concepts of artificial neural network (ANN) modelling and its application in pharmaceutical research, J Pharma Bio med Anal, 2000;22(5):717- 27.
- Z hang ZH, Wang Y, Wu WF, Zhao X, Sun XC, Wang HQ, Development of glipizide push-pull Osmotic Pump controlled release tablets by using es-pert system and artificial neural network. 2012:47(12) 1687-1695.
- Mulholland M, A comparison of classification in artificial intelligence. Induction versus a self-organising neural networks chemometrics and intelligent laboratory systems, 1995;30(1).
- Shaky, Analysis of artificial Intelligence based image classification techniques, journal of innovation image processing. (JIIP)2020;2(01);44-54.
- Arend Hintze, Understanding the four types of Al. [cited 2022. 13 June] Available from
- Mark off 1. On Jeopardy Watson Win is All but Trivial, New York City, The new york times.2017.
- Ramesh A.N, Kambhampati C. Monson J.R, Drew PJ, Artificial intelligence in medicine, 2004:86: 334.
- Albu A, Ungureanu L. Artificial neural network in medicine, 2012:18:446-453.
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- Hanson CW, Marshall B.E, Artificial intelligence applications in the intensive care unit, Writ Care Med, 2001;29:427-435.
- Moore KL, Automated radiotherapy treatment planning in Seminars radiation Oncology, WB Saunders, Philadelphia, PA, USA, 2019, 29: 209-218.
- Troilus M, Everett P, Seinfeld E, Bikinis R, Kazan L, Development of three-dimensional treatment planning system based on computed tomographic data, 2002; 31:349-357.
- Arimura H, Soufi M, Kamezawa H, Ninomiya K, Yamada M. Radio-mics with artificial intelligence for precision medicine in. radiation therapy, 1. Radiate. Res, 2019, 60: 150-157.
- Schmidt-Erfurth U, Comradeship A, Agendas B.S, Wald stein S.M, Bogunovi H, Artificial official intelligence in retina, Re-tin Eye Res, 2018:67:1-29.
- Posher M.I, Roth Bart M.K, Research on Attention Networks as a Model for the Integration of Psychological Science, Psycho l 2007:58:1-23.
- Hang M, Madeleine 1, Even FJ, Ton scoff B, H aux R, Web-based training. A new paradigm in computer-assisted instruction in medicine, Int. J. Med. Inform, 1999:53:79-90.
- Nyasa M, Artificial intelligence. The beginning of a new era in pharmacy profession, Asian 1. Pharma, 2018; 12: 72-76.
- University of California San Francisco, New UCSF Robotic Pharmacy Aims to Improve Patient safety. Available from: http://www.mucus.educ/news/2011/03/9510/new-mucus-robotic pharmacy-aims improve-patient-safety.
- MC Hugh R, Racoon 1, Meet MEDI, the Robot Taking Pain Out of Kids Hospital Visits. Available from: http://www.NeWSes.com/news/us-news/meet-medi-robottaking main saut-kids-hospital-visits-n363191
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- Man KF, Tang K, Kong, Genetic Algorithms, Concepts and Designs, Assembly Automation, 2000, 20:86-87.
References
Dastha JF, Application of artificial intelligence to pharmacy and medicine Hospital. 1992:27:312-322.
Sunarti, Rahman F.F, Nautical M, Risky M, Febriyanto K, Masnina R, Artificial intelligence in healthcare Opportunities and Risk for future, 2021, 35: 567-57.
Toepper M, Dissociating Normal Aging from Alzheimer's Disease, 2017; 57:331-352.
http://www.genengnews.com/gen-edge/covid-19-putsspotlight-on-artificial-intelligence.
Sang F, Bang Y, Z hi H, Artificial intelligence in healthcare. Past, present and future, Stroke Vase neural, 2017;2(4):230-243.
Agatonovic-Kustrin S, Beresford R, Basic concepts of artificial neural network (ANN) modelling and its application in pharmaceutical research, J Pharma Bio med Anal, 2000;22(5):717- 27.
Z hang ZH, Wang Y, Wu WF, Zhao X, Sun XC, Wang HQ, Development of glipizide push-pull Osmotic Pump controlled release tablets by using es-pert system and artificial neural network. 2012:47(12) 1687-1695.
Mulholland M, A comparison of classification in artificial intelligence. Induction versus a self-organising neural networks chemometrics and intelligent laboratory systems, 1995;30(1).
Shaky, Analysis of artificial Intelligence based image classification techniques, journal of innovation image processing. (JIIP)2020;2(01);44-54.
Arend Hintze, Understanding the four types of Al. [cited 2022. 13 June] Available from
Mark off 1. On Jeopardy Watson Win is All but Trivial, New York City, The new york times.2017.
Ramesh A.N, Kambhampati C. Monson J.R, Drew PJ, Artificial intelligence in medicine, 2004:86: 334.
Albu A, Ungureanu L. Artificial neural network in medicine, 2012:18:446-453.
Mandal L, Jana N.D, Prediction of Active Drug Molecule using Back Propagation Neural Network. In Proceedings of the 8thInternational Conference system Modelling Advancement in Research Trends (SMART), Moradabad, India, 22-23 November 2019, 22-26.
Hanson CW, Marshall B.E, Artificial intelligence applications in the intensive care unit, Writ Care Med, 2001;29:427-435.
Moore KL, Automated radiotherapy treatment planning in Seminars radiation Oncology, WB Saunders, Philadelphia, PA, USA, 2019, 29: 209-218.
Troilus M, Everett P, Seinfeld E, Bikinis R, Kazan L, Development of three-dimensional treatment planning system based on computed tomographic data, 2002; 31:349-357.
Arimura H, Soufi M, Kamezawa H, Ninomiya K, Yamada M. Radio-mics with artificial intelligence for precision medicine in. radiation therapy, 1. Radiate. Res, 2019, 60: 150-157.
Schmidt-Erfurth U, Comradeship A, Agendas B.S, Wald stein S.M, Bogunovi H, Artificial official intelligence in retina, Re-tin Eye Res, 2018:67:1-29.
Posher M.I, Roth Bart M.K, Research on Attention Networks as a Model for the Integration of Psychological Science, Psycho l 2007:58:1-23.
Hang M, Madeleine 1, Even FJ, Ton scoff B, H aux R, Web-based training. A new paradigm in computer-assisted instruction in medicine, Int. J. Med. Inform, 1999:53:79-90.
Nyasa M, Artificial intelligence. The beginning of a new era in pharmacy profession, Asian 1. Pharma, 2018; 12: 72-76.
University of California San Francisco, New UCSF Robotic Pharmacy Aims to Improve Patient safety. Available from: http://www.mucus.educ/news/2011/03/9510/new-mucus-robotic pharmacy-aims improve-patient-safety.
MC Hugh R, Racoon 1, Meet MEDI, the Robot Taking Pain Out of Kids Hospital Visits. Available from: http://www.NeWSes.com/news/us-news/meet-medi-robottaking main saut-kids-hospital-visits-n363191
Eye for Pharma. Artificial intelligence-A Brave New World for Pharma Available http://www.psychopharmacology.com/clinical/artificial intelligence brave-new-world-Pharma. from:
Silver D, Scriptwriter J, Simonyan K, Mastering the game of Go without human knowledge, 2017: 550(7676): 354-359.
Man KF, Tang K, Kong, Genetic Algorithms, Concepts and Designs, Assembly Automation, 2000, 20:86-87.