Related Experiment Video
Updated: Jan 14, 2026
03:14
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
1.0K
Small language models: The big play for agentic artificial intelligence in orthopaedics.
Felix C Oettl1, James A Pruneski2, Balint Zsidai3,4,5
1Department of Orthopedic Surgery, Balgrist University Hospital, University of Zürich, Zurich, Switzerland.
Summary
This editorial advocates for Small Language Models (SLMs) over Large Language Models (LLMs) in orthopedics. SLMs provide efficient, cost-effective AI solutions for specialized clinical tasks, enhancing surgical assistance and patient management.
Area of Science:
- Orthopedic Surgery
- Artificial Intelligence
- Clinical Informatics
Background:
- Artificial intelligence (AI) adoption in orthopedics is increasing.
- Current focus is on resource-intensive Large Language Models (LLMs).
- There is a need for more efficient AI solutions in specialized clinical settings.
