Real-World Applications of AI in Adaptive Clinical Trials

Authors

  • Michael William Department of Computer Engineering, Idaho State University Author

Keywords:

Adaptive clinical trials, artificial intelligence, machine learning, precision medicine, clinical trial optimization.

Abstract

Adaptive clinical trials represent a significant advancement in clinical research, offering greater flexibility and efficiency compared to traditional trial designs. The integration of artificial intelligence further enhances the potential of adaptive trials by optimizing decision-making processes, streamlining operations, and ultimately improving trial outcomes. This paper explores the transformative role of AI in adaptive clinical trials, examining how AI-driven tools are being applied across various stages of the trial lifecycle. We discuss the applications of AI in trial design, patient recruitment, continuous monitoring, and data analysis, highlighting real-world examples and case studies. Furthermore, we address the challenges and ethical considerations associated with integrating AI in clinical research, emphasizing the need for responsible development and implementation of AI-powered solutions. Finally, we offer insights into the future directions of AI in adaptive clinical trials and its potential to revolutionize evidence generation in healthcare.

Downloads

Download data is not yet available.

Downloads

Published

2024-11-01

Similar Articles

1-10 of 144

You may also start an advanced similarity search for this article.