
News|Articles|November 22, 2024
The Rise of Predictive Engagement Tools in Clinical Trials
Author(s)AICure
Patient attrition can be a significant barrier to the success of a randomized controlled trial (RCT). Today, with the help of AI-powered predictive engagement tools, clinical study managers are finding ways to proactively reduce attrition rates in RCTs, and increase the effectiveness of their trial. In this guide, we look at the role AI-powered patient engagement tools play in clinical research, from the problems they’re being used to solve to the areas and indications in which they’re being deployed.
Newsletter
Stay current in clinical research with Applied Clinical Trials, providing expert insights, regulatory updates, and practical strategies for successful clinical trial design and execution.
Trending on Applied Clinical Trials Online
1
FDA and EMA Align on Ten Principles to Guide Artificial Intelligence Use in Drug Development
2
New Phase II Data Suggest Maternal Nipocalimab Does Not Disrupt Infant Immune Development in Severe HDFN
3
Clinical Operations Teams Adjust to Evidence and Engagement Gaps
4
De-Risking Development: Prioritizing Robustness in Trial Design
5