This research proposes application-specific LLMs to enhance the efficiency and consistency of Institutional Review Boards (IRBs) in evaluating human subjects research.

• Fine-tuned on IRB-specific literature and institutional datasets
• Equipped with retrieval capabilities for accessing up-to-date guidelines
• Designed to address key IRB challenges: inconsistency, delays, and inefficiencies
• Maintains human oversight while augmenting review processes

This innovation has significant potential to accelerate medical research approval timelines while maintaining rigorous ethical standards, ultimately benefiting patients through faster translation of research to clinical practice.

Development of Application-Specific Large Language Models to Facilitate Research Ethics Review