Agentic Large Language Models for Healthcare: Current Progress and Future Opportunities
Han Yuan
Abstract
Agentic large language models (LLMs) combine vanilla LLMs’ reasoning, planning, and reflecting acquired from vast pre-trained datasets with specialized tools to enhance problem-solving capabilities. To understand the current progress and future opportunities of agentic LLMs for healthcare, this commentary conducted a comprehensive literature search in PubMed and summarized key takeaways.
Topics & Concepts
Current (fluid)Health carePsychologyComputer sciencePolitical scienceEngineeringLawElectrical engineeringArtificial Intelligence in Healthcare and EducationArtificial Intelligence in HealthcareMachine Learning in Healthcare