The potential and pitfalls of artificial intelligence in clinical pharmacology Article Swipe
Related Concepts
Pharmacology
Psychology
Medicine
Neuroscience
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Martin Johnson
,
Mishal Patel
,
Alex Phipps
,
Mihaela van der Schaar
,
Dave Boulton
,
Megan Gibbs
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1002/psp4.12902
· OA: W4318668988
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1002/psp4.12902
· OA: W4318668988
Artificial intelligence (AI) involves using data and algorithms to perform activities normally achieved through human intelligence. AI and its key component machine learning contextualize data and enhance decision making to transform how we operate, discover, and develop drugs. Transforming clinical pharmacology (CP) as AI‐augmented CP (AI/CP) requires an ecosystem including digitized data collection, standardized processes, complementary technologies, and an ethical framework. This commentary aims to highlight the future perspectives of AI/CP in drug development.
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