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Driving new levels of patient safety and study quality.
Artificial intelligence (AI) and machine learning (ML) are making their mark on clinical monitoring, helping to improve patient safety, data quality and data integrity.
In both risk-based monitoring (RBM) and non-RBM approaches, these advanced technologies are driving better and more rapid decision making than has historically been possible.
This paper presents case studies illustrating the potential of AI and machine learning to identify patient and site outliers.
Find more valuable content here: Transforming clinical development with Artificial Intelligence
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