Artificial intelligence is reshaping how clinical trials are monitored — but its application to clinical monitoring specifically remains in early stages. In this article, Regional Site Managers Nicola Phillips and Tameka Johnson explore what AI can realistically offer clinical research teams today: from predictive analytics and real-time patient alerts to risk-based monitoring and data anomaly detection.
The authors take a practical, grounded view — examining where AI delivers clear value, where trust and transparency remain challenges, and what sponsors and clinical operations teams need to consider before adoption. Crucially, they make the case that AI is a tool to complement the clinician’s role, not replace it.
Originally published on ClinicalLeader.com. Download the full article below.
