31AUG

Welcome To Mediterr J Med Res

Manuscripts are accepted for consideration with understanding that they are represent original material and they are not being considered for publication elsewhere. The editors welcome the submission of relevant articles for editorial consideration. Manuscripts and all scientific and professional data should be addressed to Editor-in-Cheif (Fmosherif@yahoo.com).
Mediterranean Journal of Medical Research
http://www.mjpe.periodikos.com.br/article/doi/10.5281/zenodo.15259824

Mediterranean Journal of Medical Research

Commentary

Artificial intelligence in the pharmaceutical galenic field: A useful instrument and risk consideration

Luisetto M., Ferraiuolo A., Fiazza C., Cabianca L., Edbey K., Mashori G.R., Latyshev O.Y.

http://dx.doi.org/10.5281/zenodo.15259824 Mediterr J Med Res, vol.2, n1, p.10-19, 2025
PDF
Downloads: 2
Views: 558

Abstract

It is undeniable that artificial intelligence technology helps humans in many fields but it is necessary to consider the risk of unprofessional use. Today, in the healthcare system, the use of artificial intelligence is widely diffused and in the future probably it will increase. Literature reports the accurancy of the various artificial intelligence tools like chatbots in some medical fields. This article aims to verify some relevant literature about this field and to test one famous provider of artificial intelligence Chatbots: Based on the results of this test some crucial considerations are submitted to the researcher. A rigorous evaluation of the benefits and risks must be considered at this level of technology and today available.

Keywords

Accurancy, benefit, chatbot, pharmacy practice, risk management, toxicology risk

References

  1. Kufel J, Bargieł-Łączek K, Kocot S, Koźlik M, Bartnikowska W, Janik M, et al. What Is Machine Learning, Artificial Neural Networks and Deep Learning?-Examples of Practical Applications in Medicine. Diagnostics (Basel). 2023; 13(15): 2582. doi: 10.3390/diagnostics13152582
  2. Aritra S, Indu S.Harnessing the power of artificial intelligence in pharmaceuticals: Current trends and future prospects. Intelligent Pharmacy. 2024; 1-42. S2949-866X(24)00121-7. doi: 10.1016/j.ipha.2024.12.001
  3. Yi W, Mirzaei A, Guia M, Voigt P. International Pharmaceutical Federation (FIP): An artificial intelligence toolkit for pharmacy: An introduction and resource guide for pharmacists. The Hague: International Pharmaceutical Federation, 2025; 2025. doi: Nil.
  4. Vora LK, Gholap AD, Jetha K, Thakur RRS, Solanki HK, Chavda VP. Artificial intelligence in pharmaceutical technology and drug delivery design. Pharmaceutics. 2023; 15(7): 1916. doi: 10.3390/pharmaceutics 15071916
  5. Hatzimanolis J, Britney R, El-Den S, Aslani P, Zhou J, Chaar BB. Applications of artificial intelligence in current pharmacy practice: A scoping review. Research and Social Administrative Pharmacy. 2025; 21(3): 134-141. doi: 10.1016/ j.sapharm.2024.12.007
  6. Linnet T. White paper: AI in compounding pharmacy-revolutionizing efficiency and compliance. Alliance for Pharmacy Compounding. 2025; doi: Nil.
  7. Li Sun L, Yin C, Xu Q, Zhao W. Artificial intelligence for healthcare and medical education: a systematic review. American Journal of Translational Research. 2023; 15(7): 4820-4828. doi: Nil.
  8. Sherif FM. The future of pharmacy in Libya. Mediterranean Journal of Pharmacy and Pharmaceutical Sciences. 2023; 3(1): 1-2. doi: 10.5281/ zenodo.7771304
  9. Siafakas N, Vasarmidi E. Risks of Artificial Intelligence (AI) in Medicine. Pneumon. 2024; 37(3): 40. doi: 10.18332/pne/191736
  10. Ali O,  Abdelbaki W, Shrestha A, Elbasi E, Alryalat MAA, Dwivedi YK. A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities. Journal of Innovation and Knowledge. 2023; 8(1): 100333. doi.10.1016/j.jik.2023.100333
  11. Gupta S, Kar AK, Baabdullah A, Al-Khowaiter WAA. Big data with cognitive computing: A review for the future. International Journal of Information Management. 2018; 42: 78-89. 10.1016/j.ijinfomgt.2018.06.005
  12. Alowais SA, Alghamdi SS, Alsuhebany N, Alqahtani T, Alshaya AI, Almohareb SN, Aldairem A, Alrashed M, Bin Saleh K, Badreldin HA, Al Yami MS, Al Harbi S, Albekairy AM. Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC Med Educ. 2023; 23(1): 689. doi: 10.1186/s12909-023-04698-z
  13. Karimi A, Pajouh HH. Artificial intelligence, important assistant of scientists and physicians. Galen Medical Journal. 2020; 9: e2048. doi: 10.31661/gmj.v9i0.2048
  14. Chalasani SG, Syed J, Ramesh M, Patil V, Kumar TMP. Artificial intelligence in the field of pharmacy practice: A literature review. Exploratory Research in Clinical and Social Pharmacy. 2023; 12: 100346. doi: 10.1016/j.rcsop.2023.100346
  15. Vora LK, Gholap AD, Jetha K, Thakur RRS, Solanki HK, Chavda VP. Artificial intelligence in pharmaceutical technology and drug delivery design. Pharmaceutics. 2023; 15(7): 1961. doi: 10.3390/pharmaceutics 15071916
  16. Tignor K, Schalliol L, Glover A. Artificial intelligence and the future of specialty pharmacy. US. Pharmacy. 2025; 50(1): 29-32. doi: Nil.
  17. Oswalt R. The role of artificial intelligence in pharmacy practice. Pharmacy Times. Sept. 5, 2023. 2023; doi: Nil.
  18. Halagali P, Nayak D, Seenivasan R, Manikkath J, Rathnanand M, Tippavajhala VK. Artificial intelligence revolution in pharmaceutical sciences: Advancements, clinical impacts, and applications. Current Pharmaceutical Biotechnology. 2025 Jan 23. 2025; doi: 10.2174/0113892010356115241224104018
  19. Kumar A, Gupta GD, Raikwar S. Artificial intelligence technologies used for the assessment of pharmaceutical excipients. Current Pharmaceutical Design. 2024; 30(6): 407-409. doi: 10.2174/01138161282858272401190 95013
  20. Khan MK, Raza M, Shahbaz M, Hussain I, Khan MF, Xie Z, Syed Shah SA, Tareen AK, Bashir Z, Khan K. The recent advances in the approach of artificial intelligence (AI) towards drug discovery. Frontiers in Chemistry. 2024; 12: 1408740. doi: 10.3389/fchem.2024.1408740
  21. Mottaghi-Dastjerdi N, Soltany-Rezaee-Rad M. Advancements applications of artificial intelligence in pharmaceutical sciences: A comprehensive review. International Journal of Pharmaceutical Research. 2024; 23(1): e150510. doi: 10.5812/ijpr-150510
  22. Mocrii A-A, Chirila O-S. AI-assisted application for pediatric drug dosing. Studies in Health Technology and Informatics. 2024. doi: 10.3233/SHTI241093
  23. Raza MA, Aziz S, Noreen M, Saeed A, Anjum I, Ahmed M, Raza SM. Artificial Intelligence (AI) in Pharmacy: An overview of Innovations. Innovation in Pharmacy. 2022; 13(2): 10.24926/iip.v13i2.4839. doi: 10.24926/iip. v13i2. 4839
  24. Chustecki M (2024) Benefits and risks of AI in health care: Narrative review. Interactive Journal of Medical Research. 13: e53616. doi: 10.2196/53616
  25. Kleinstreuer N, Hartung T. Artificial intelligence (AI)-it's the end of the tox as we know it (and I feel fine). Archives in Toxicology. 2024; 3: 735-754. doi: 10.1007/s00204-023-03666-2
  26. Laska M, Karwala I. Artificial intelligence in the chemical industry-risks and opportunities. Scientific Papers of Silesian University of Technology. 2023; 172. 403-417. doi: 10.29119/1641-3466.2023.172.25
  27. Tilala MH, Chenchala PK, Choppadandi A, Kaur J, Naguri S, Saoji R, Devaguptapu B. Ethical considerations in the use of artificial intelligence and machine learning in health care: A comprehensive review. Cureus. 2024; 16(6): e62443. doi: 10.7759/cureus.62443
  28. Tracy T, Wu L, Liu X, Cheng S, Li X. 3D printing: Innovative solutions for patients and pharmaceutical industry. International Journal of Pharmacy. 2023; 631: 122480. doi: 10.1016/j.ijpharm.2022.122480
  29. Barberini C, Lavezzini E, Zoboli D, Busani C. Pharmaceutical preparations in the hospital. Analysis and in-house development of an automated system of management. Recenti Progressi in Medicina. 2018; 109(2): 122-123. doi: 10.1701/2865.28905
  30. Chanda SS, Banerjee DN. Omission and commission errors underlying AI failures. Artificial Intelligence and Society. 2022; 17: 1-24. doi: 10.1007/s00146-022-01585-x
  31. Lekadir K, Quaglio G, Garmendia AT, Gallin C. Artificial intelligence in healthcare applications, risks, and ethical and societal impacts. European Parliamentary Research Service Scientific Foresight Unit (STOA). 2022; PE 729.512. ISBN: 978-92-846-9456-3. doi: 10.2861/568473
  32. Beck S, Kuhner M, Haar M, Daubmann A, Semmann M, Kluge S. Evaluating the accuracy and reliability of AI chatbots in disseminating the content of current resuscitation guidelines: a comparative analysis between the ERC 2021 guidelines and both ChatGPTs 3.5 and 4. Scandinavian Journal of Trauma, Resuscitation Emergency Medicine. 2024; 32: 95. doi:  10.1186/s13049-024-01266-2
  33. Shiferaw MW, Zheng T, Winter A, Mike LA, Chan  L-N. Assessing the accuracy and quality of artificial intelligence (AI) chatbot-generated responses in making patient-specific drug-therapy and healthcare-related decisions. BMC Medical Informatics and Decision Making. 2024; 24(1): 404. doi: 10.1186/s12911-024-02824-5
  34. Chow R, Hasan S, Zheng A, Gao C, Valdes G, Yu F, Chhabra A, Raman S, Choi JI, Lin H, Simone CB. The accuracy of artificial intelligence ChatGPT in oncology examination questions. Journal of the American College of Radiology. 2024; 21(11): 1800-1804. doi: 10.1016/j.jacr.2024.07.011

Submitted date:
04/02/2025

Reviewed date:
04/18/2025

Accepted date:
04/21/2025

68074511a953950b2c322fd4 mjpe Articles
Links & Downloads
3080-7735 (Electronic)
Mediterr J Med Res ©2025 All rights reserved.

Mediterr J Med Res

Share this page
Page Sections