Objective:
To explore the applications and limitations of large language models (LLMs) in private medical practices.
Approach:
- LLMs can enhance practice efficiency and allow providers to focus more on patient care.
- The accuracy of LLM outputs depends heavily on the quality and context of the input data.
- Medically relevant statements from LLMs must be verified against trusted clinical sources.
- LLMs may produce incorrect or misleading information.
- They lack the nuanced understanding of a trained healthcare provider.
Key Findings:
Interpretation:
Optometrists can leverage LLMs as clinical support tools while being aware of their limitations and the need for verification.
Limitations:
Conclusion:
By understanding the strengths and limitations of LLMs, optometrists can use them safely and effectively as support tools in their practices.
Sources:
This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.


