Demystifying the role of AI in Clinical Trials: Hype, Myth, or Real

AI has become a catch all word for everything from ChatGPT, large language models, machine learning, and neural networks, to routine data analysis or robotic process automation. The clinical trials industry has been evolving over the years with the adoption of electronic data capture, decentralized clinical trials, site less clinical trials, and remote patient monitoring, In this presentation, we explore the evolving landscape of artificial intelligence in clinical research. We will examine how AI technologies are currently applied across various stages of clinical trials, from patient recruitment to data analysis and beyond. The presentation aims to separate the realistic impacts from the overhyped expectations, providing a balanced view of AI's capabilities and limitations. By analyzing real-world case studies and empirical data, attendees will gain insights into how AI can truly enhance clinical trial efficiency, accuracy, and outcomes, distinguishing between practical applications and common misconceptions in the field. Question is - who is well positioned to take advantage of AI in clinical research?