Artificial Intelligence in the Pharmaceutical Galenic Field: A Useful Tool with Associated Risks

Main Article Content

Luisetto M
Ferraiuolo A
Fiazza C
Cabianca L
Edbey K
Mashori GR
Abdul Hamid G
Latyshev Oleg Yurevich

Abstract

The integration of artificial intelligence (AI) technology into various fields, particularly healthcare, has demonstrated considerable potential in improving efficiency and accuracy. However, the potential risks associated with unprofessional or inappropriate use of AI cannot be overlooked. The current landscape of healthcare demonstrates a growing reliance on AI tools, which is expected to expand in the future. The existing literature highlights the effectiveness of various AI applications, including chatbots, in specific medical domains. This study aims to review relevant literature in the pharmaceutical and galenic fields while evaluating a prominent AI chatbot provider. Based on the findings, this article presents critical considerations for researchers and practitioners. A thorough assessment of the benefits and risks associated with AI technologies is essential as these tools become increasingly prevalent in pharmaceutical practices.

Article Details

M, L., A, F., C, F., L, C., K, E., GR, M., … Yurevich, L. O. (2025). Artificial Intelligence in the Pharmaceutical Galenic Field: A Useful Tool with Associated Risks. Archives of Pharmacy and Pharmaceutical Sciences, 9(1), 014–020. https://doi.org/10.29328/journal.apps.1001066
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Copyright (c) 2025 Luisetto M, et al.

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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. Available from: https://doi.org/10.3390/diagnostics13152582

DelveInsight. Most promising applications of artificial intelligence (AI) in healthcare segment 2022. 2022. Available from: https://www.delveinsight.com/blog/top-applications-of-artificial-intelligence-in-healthcare

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. Available from: https://doi.org/10.3390/pharmaceutics15071916

Sultana A, Maseera R, Rahamanulla A, Misiriya A. Emerging of artificial intelligence and technology in pharmaceuticals: review. Futur J Pharm Sci. 2023;9:65. Available from: https://doi.org/10.1186/s43094-023-00517-w

Jessica H, Sarira E-D, Britney R, Joe Z, Betty B, Parisa A. Applications of artificial intelligence in current pharmacy practice: a scoping review. Res Social Adm Pharm. 2025;21(3):134–141. Available from: https://doi.org/10.1016/j.sapharm.2024.12.007

Siafakas N, Vasarmidi E. Risks of artificial intelligence (AI) in medicine. Pneumon. 2024;37(3):40. Available from: https://doi.org/10.18332/pne/191736

Kobialka H-U. AI-based root cause analysis. 2022. Available from: https://lamarr-institute.org/blog/root-cause-analysis/

Karimi A, HaddadPajouh H. Artificial intelligence, important assistant of scientists and physicians. Galen Med J. 2020;9:e2048. Available from: https://doi.org/10.31661/gmj.v9i0.2048

Chalasani SH, Syed J, Ramesh M, Patil V, Kumar TMP. Artificial intelligence in the field of pharmacy practice: a literature review. Explor Res Clin Soc Pharm. 2023;12:100346. Available from: https://doi.org/10.1016/j.rcsop.2023.100346

Vora LK, Gholap AD, Jetha K, Thakur RRS, Solanki HK, et al. Artificial intelligence in pharmaceutical technology and drug delivery design. Pharmaceutics. 2023. Available from: https://doi.org/10.3390/pharmaceutics15071916

Tignor K, Schalliol L, Glover A. Artificial intelligence and the future of specialty pharmacy. US Pharm. 2025;50(1):29–32. Available from: https://www.uspharmacist.com/article/artificial-intelligence-and-the-future-of-specialty-pharmacy

Oswalt R. The role of artificial intelligence in pharmacy practice. Community/Retail Article. 2023. Available from: https://www.pharmacytimes.com/view/the-role-of-artificial-intelligence-in-pharmacy-practice

Halagali P, Nayak D, Seenivasan R, Manikkath J, Rathnanand M, Tippavajhala VK. Artificial intelligence revolution in pharmaceutical sciences: advancements, clinical impacts, and applications. Curr Pharm Biotechnol. 2025. Available from: https://doi.org/10.2174/0113892010356115241224104018

Kumar A, Gupta GD, Raikwar S. Artificial intelligence technologies used for the assessment of pharmaceutical excipients. Curr Pharm Biotechnol. 2024;30(6). Available from: https://doi.org/10.2174/0113816128285827240119095013

Khan MK, Raza M, Shahbaz M, Hussain I, Khan MF, Xie Z, et al. The recent advances in the approach of artificial intelligence (AI) towards drug discovery. Front Chem. 2024;12:1408740. Available from: https://doi.org/10.3389/fchem.2024.1408740

Mottaghi-Dastjerdi N, Soltany-Rezaee-Rad M. Advancements and applications of artificial intelligence in pharmaceutical sciences: a comprehensive review. Iran J Pharm Res. 2024;23(1):e150510. Available from: https://doi.org/10.5812/ijpr-150510

Mocrii AA, Chirila OS. AI-assisted application for pediatric drug dosing. Stud Health Technol Inform. 2024;321:205–209. Available from: https://doi.org/10.3233/shti241093

Raza MA, Aziz S, Noreen M, Saeed A, Anjum I, Ahmed M, et al. Artificial intelligence (AI) in pharmacy: an overview of innovations. Innov Pharm. 2022 Dec 12;13(2):10.24926/iip.v13i2.4839. Available from: https://doi.org/10.24926/iip.v13i2.4839

Chustecki M. Benefits and risks of AI in health care: narrative review. Interact J Med Res. 2024. Available from: https://doi.org/10.2196/53616

Ferrara M, Bertozzi G, Di Fazio N, Aquila I, Di Fazio A, Maiese A, et al. Risk management and patient safety in the artificial intelligence era: a systematic review. Healthcare (Basel). 2024;12(5):549. Available from: https://doi.org/10.3390/healthcare12050549

Kleinstreuer N, Hartung T. Artificial intelligence (AI)—it’s the end of the tox as we know it (and I feel fine). Arch Toxicol. 2024;98(3):735–754. Available from: https://doi.org/10.1007/s00204-023-03666-2

Laska M, Karwala I. Artificial intelligence in the chemical industry – risks and opportunities. Sci Pap Silesian Univ Technol Organ Manag Ser. 2023;(172). Available from: http://managementpapers.polsl.pl/

Tilala MH, Chenchala PK, Choppadandi A, Kaur J, Naguri S, Saoji R, et al. Ethical considerations in the use of artificial intelligence and machine learning in health care: a comprehensive review. Cureus. 2024. Available from: https://doi.org/10.7759/cureus.62443

Tracy T, Wu L, Liu X, Cheng S, Li X. 3D printing: innovative solutions for patients and pharmaceutical industry. Int J Pharm. 2023;631:122480. Available from: https://doi.org/10.1016/j.ijpharm.2022.122480

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 Prog Med. 2018;109(2):122–123. Available from: https://doi.org/10.1701/2865.28905

Chanda SS, Banerjee DN. Omission and commission errors underlying AI failures. AI Soc. 2022:1–24. Available from: https://doi.org/10.1007/s00146-022-01585-x

Lekadir K, Quaglio G, Tselioudis Garmendia A, Gallin C. Artificial intelligence in healthcare: applications, risks, and ethical and societal impacts. EPRS | European Parliamentary Research Service Scientific Foresight Unit (STOA). 2022 Jun;PE 729.512. Available from: https://www.europarl.europa.eu/RegData/etudes/STUD/2022/729512/EPRS_STU(2022)729512_EN.pdf

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. Scand J Trauma Resusc Emerg Med. 2024;32:95. Available from: https://doi.org/10.1186/s13049-024-01266-2

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 Med Inform Decis Mak. 2024;24(1):404. Available from: https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-024-02824-5

Chow R, Hasan S, Zheng A, Gao C, Valdes G, Yu F, et al. The accuracy of artificial intelligence ChatGPT in oncology examination questions. J Am Coll Radiol. 2024. Available from: https://doi.org/10.1016/j.jacr.2024.07.011

Karimi A, HaddadPajouh H. Artificial intelligence, important assistant of scientists and physicians. Galen Med J. 2020;9:e2048. Available from: https://doi.org/10.31661/gmj.v9i0.2048

Chalasani SH, Syed J, Ramesh M, Patil V, Pramod Kumar TM. Artificial intelligence in the field of pharmacy practice: a literature review. Explor Res Clin Soc Pharm. 2023;12:100346. Available from: https://doi.org/10.1016/j.rcsop.2023.100346

Halagali P, Nayak D, Seenivasan R, Manikkath J, Rathnanand M, Tippavajhala VK. Artificial intelligence revolution in pharmaceutical sciences: advancements, clinical impacts, and applications. Curr Pharm Biotechnol. 2025. Available from: https://doi.org/10.2174/0113892010356115241224104018

Kumar A, Gupta GD, Raikwar S. Artificial intelligence technologies used for the assessment of pharmaceutical excipients. Curr Pharm Biotechnol. 2024;30(6). Available from: https://doi.org/10.2174/0113816128285827240119095013

Mottaghi-Dastjerdi N, Soltany-Rezaee-Rad M. Advancements and applications of artificial intelligence in pharmaceutical sciences: a comprehensive review. Iran J Pharm Res. 2023;23(1):e150510. Available from: https://doi.org/10.5812/ijpr-150510

Raza MA, Aziz S, Noreen M, Saeed A, Anjum I, Ahmed M, et al. Artificial intelligence (AI) in pharmacy: an overview of innovations. Innov Pharm. 2022;13(2):10.24926/iip.v13i2.4839. Available from: https://doi.org/10.24926/iip.v13i2.4839

Chanda SS, Banerjee DN. Omission and commission errors underlying AI failures. AI Soc. 2022;37(4):1–24. Available from: https://doi.org/10.1007/s00146-022-01585-x

Lekadir K, Quaglio G, Tselioudis Garmendia A, Gallin C. Artificial intelligence in healthcare: applications, risks, and ethical and societal impacts. EPRS | European Parliamentary Research Service Scientific Foresight Unit (STOA). 2022 Jun;PE 729.512. Available from: https://www.europarl.europa.eu/thinktank/en/document/EPRS_STU(2022)729512