Related Experiment Video
Updated: Jun 11, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
Understanding and training for the impact of large language models and artificial intelligence in healthcare
Liam G McCoy1, Faye Yu Ci Ng2, Christopher M Sauer3,4
1Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada.
Abstract:
Reports of Large Language Models (LLMs) passing board examinations have spurred medical enthusiasm for their clinical integration. Through a narrative review, we reflect upon the skill shifts necessary for clinicians to succeed in an LLM-enabled world, achieving benefits while minimizing risks. We suggest how medical education must evolve to prepare clinicians capable of navigating human-AI systems.
Related Concept Videos
Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Current Trends in Nursing II
Methods of Documentation VI: Case Management Model
For example, a patient with a chronic...
Language and Cognition
Current Trends in Nursing I
Standards of Care II

