Department of Clinical Pharmacology, University College London Hospitals NHS Foundation Trust, London, UK.
Institute of Health Informatics, University College London, London, UK.
Br J Clin Pharmacol. 2024 Mar;90(3):629-639. doi: 10.1111/bcp.15930. Epub 2023 Nov 12.
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.
人工智能（AI）将影响临床药理学的许多方面，包括药物发现和开发、临床试验、个性化医学、药物基因组学、药物警戒和临床毒理学。AI 在医疗保健领域的快速发展意味着临床药理学家应该了解 AI 及其在临床实践中的应用。与任何新的治疗方法或健康技术一样，至关重要的是，AI 工具必须经过严格和严格的评估，以确保它们以安全和平等的方式增强临床实践。本文旨在为临床药理学家介绍 AI，重点介绍当前的应用、模型开发的各个方面以及评估和部署所涉及的问题。本文的目的是使临床药理学家能够在医疗保健领域中安全有效地使用 AI，并引领这一潮流。
