ACRP 2026 Annual Conference

Artificial intelligence (AI) is transforming clinical research by streamlining patient identification, automating data capture, and enhancing imaging analysis. This session explores practical applications of AI in oncology trials, focusing on three high-impact areas: 1) patient matching and identification using advanced algorithms to accelerate enrollment and improve diversity; 2) seamless data collection through integration from electronic medical records to electronic data capture, reducing manual errors and increasing efficiency; and 3) automated imaging analysis, such as AI-driven RECIST measurements, to improve consistency and speed in response assessments. Attendees will take away actionable insights and learn from real-world examples for implementing AI solutions while addressing challenges in adoption, data quality, and regulatory considerations.

Clinical research teams manage millions of data points and thousands of documents—yet many still rely on manual, time-consuming processes that slow progress and increase risk. The good news: There are accessible AI tools within your office suite that can significantly streamline everyday tasks. Join experts in clinical research operations as they share practical use cases, share insights, and discuss how you can build confidence and expertise in this rapidly changing field. Specific topics include reducing the AI fear factor, building an AI-informed workforce, and tackling clinical research operations with AI.

The field of oncology clinical trials is dynamic and intricate, with continuous evolution introducing new challenges for research sites. This panel discussion features seasoned representatives from highly active research sites sharing their innovative strategies for navigating this evolving landscape. While universal solutions are elusive, each site employs a unique blend of technology and human expertise to achieve its research objectives.