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Artificial intelligence in clinical pharmacy—A systematic review of current scenario and future perspectives
0
Zitationen
6
Autoren
2025
Jahr
Abstract
Artificial intelligence-based algorithms have been identified as applicable tools for the early detection of adverse drug events and prescription errors, the prediction of individual drug response, and the design of patient-specific treatment plans. Prior to broad clinical implementation, future multicenter, prospective studies employing standardized clinical endpoints, external validation, and cost-effectiveness analyses are required.
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