Prescreening for Clinical Trial Eligibility Using Large Language Models

In this discussion, cardiologist Alexander J. Blood, an expert in cardiometabolic disease and data science, joins Yulin Hswen to explore groundbreaking advancements in clinical trial prescreening. They delve into how AI tools like the Rectifier enhance patient eligibility assessments, significantly reducing time and improving accuracy compared to manual methods. The conversation also highlights the essential role of human oversight in AI-assisted processes and the broader implications for medical research, emphasizing the future of AI in streamlining trial recruitment.