Artificial Intelligence in Clinical Trials: Balancing Innovation and Accuracy

Clinical Researcher

The use of artificial intelligence (AI) has become pervasive throughout different fields from agriculture to finance, and healthcare is no exception. While AI has several usages in clinical settings and public health, such as diagnostics, robot-assisted surgery, patient medication reminders, and COVID-19 case surge prediction, here we focus on areas in which AI tools can be used to facilitate clinical research.

Ethical Violations in Clinical Research: Lessons from the Past, Challenges for the Future

Clinical Researcher

This article explores the evolution of ethical standards in clinical research, emphasizing historical violations and contemporary challenges. With a focus on maintaining participant safety, autonomy, and trust, the article provides clinical research professionals with insights into the foundational principles of ethical conduct, regulatory frameworks, and strategies for safeguarding human subjects in modern research environments.

ACRP Journal Contributors Dive into Promising Applications of AI for Clinical Trial Sites

Blog

The U.S. Food and Drug Administration’s (FDA’s) recent launch of an agency-wide large language model–powered artificial intelligence (AI) tool known Elsa and ongoing efforts to have another AI tool known as CDRH-GPT in place for speeding up reviews and approvals of medical devices by the end of June have attracted their share of both supporters and detractors. With AI seemingly also coming at full speed into the daily routines of leaders and staff at clinical trial sites, contributors to ACRP’s Clinical Researcher journal are taking a closer look at current and potential applications of AI by study teams at work in the trenches.