Codeless Development of a Customized SMILE Nomogram Using a Large Language Model: A Practical Framework for Clinicians
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View abstract on PubMed
Summary
This summary is machine-generated.ChatGPT-4 can create customized nomogram calculators for small-incision lenticule extraction (SMILE) surgery using institution-specific data, eliminating the need for coding expertise. This advanced large language model facilitates the development of user-friendly tools for precise surgical planning.
Area Of Science
- Ophthalmology
- Artificial Intelligence in Medicine
- Surgical Technology
Background
- Customized nomograms are crucial for small-incision lenticule extraction (SMILE) due to variations in surgical techniques and patient data.
- Developing these nomograms typically requires specialized coding skills and statistical software.
Purpose Of The Study
- To assess the feasibility of using ChatGPT-4, a large language model (LLM), to generate customized nomogram calculators for SMILE surgery.
- To determine if ChatGPT-4 can perform statistical analysis and create a functional web-based calculator without requiring programming knowledge.
Main Methods
- Retrospective analysis of 1268 SMILE patient eyes, dividing data into training and validation sets.
- Utilizing ChatGPT-4 for linear regression analysis to predict postoperative refractive errors from preoperative data.
- Instructing ChatGPT-4 to generate HTML code for a webpage-based nomogram calculator.
Main Results
- ChatGPT-4 successfully conducted nomogram regression analysis for SMILE, yielding results comparable to R and SPSS.
- The developed nomogram demonstrated superior predictive accuracy for postoperative refractive error compared to empirical methods (p < 0.001).
- A functional webpage calculator was created using ChatGPT-4 prompts, requiring no manual coding.
Conclusions
- ChatGPT-4 can effectively generate statistical models and user-friendly calculator tools for SMILE nomograms.
- Clinicians can leverage this LLM to create personalized nomogram calculators using their own data, simplifying surgical planning.
- This technology empowers ophthalmologists to develop customized nomogram tools conveniently and efficiently.
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