Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2024 Mar;90(3):629-639.
doi: 10.1111/bcp.15930. Epub 2023 Nov 12.

Artificial intelligence and machine learning for clinical pharmacology

David K Ryan  1 , Rory H Maclean  1   2 , Alfred Balston  3 , Andrew Scourfield  1 , Anoop D Shah  1   2   4 , Jack Ross  1
Affiliations
Free article
Review

Artificial intelligence and machine learning for clinical pharmacology

David K Ryan et al. Br J Clin Pharmacol. 2024 Mar.
Free article

Abstract

Artificial intelligence (AI) will impact many aspects of clinical pharmacology, including drug discovery and development, clinical trials, personalized medicine, pharmacogenomics, pharmacovigilance and clinical toxicology. The rapid progress of AI in healthcare means clinical pharmacologists should have an understanding of AI and its implementation in clinical practice. As with any new therapy or health technology, it is imperative that AI tools are subject to robust and stringent evaluation to ensure that they enhance clinical practice in a safe and equitable manner. This review serves as an introduction to AI for the clinical pharmacologist, highlighting current applications, aspects of model development and issues surrounding evaluation and deployment. The aim of this article is to empower clinical pharmacologists to embrace and lead on the safe and effective use of AI within healthcare.

Keywords: artificial intelligence; clinical pharmacology; clinical trials; machine learning; real-world data.

PubMed Disclaimer

References

REFERENCES

    1. Ross J, Webb C, Rahman F. Artificial intelligence in healthcare. https://www.aomrc.org.uk/reports-guidance/artificial-intelligence-in-hea...
    1. Badillo S, Banfai B, Birzele F, et al. An introduction to machine learning. Clin Pharmacol Ther. 2020;107(4):871-885. doi:10.1002/cpt.1796
    1. Ge W, Lueck C, Suominen H, Apthorp D. Has machine learning over-promised in healthcare?: A critical analysis and a proposal for improved evaluation, with evidence from Parkinson's disease. Artif Intell Med. 2023;139:102524. doi:10.1016/j.artmed.2023.102524
    1. Meskó B, Görög M. A short guide for medical professionals in the era of artificial intelligence. NPJ Digit Med. 2020;3:126. doi:10.1038/s41746-020-00333-z
    1. Corrigan BW. Artificial intelligence and machine learning: will clinical pharmacologists be needed in the next decade? The John Henry question. Clin Pharmacol Ther. 2020;107(4):697-699. doi:10.1002/cpt.1792

Publication types

LinkOut - more resources