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.

CEU: 1.00 ACRP

Speaker:

• Chelsea Osterman, MD, Senior Medical Director, Tempus AI