Codeless Development of a Customized SMILE Nomogram Using a Large Language Model: A Practical Framework for Clinicians
Conclusion: ChatGPT-4 not only provides a statistical model for SMILE nomograms but also creates a calculator for user convenience. Clinicians can easily build their own nomogram calculators using only the collected data without coding. The advanced LLM will allow clinicians to conveniently create c...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2025-01-01
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| Series: | Journal of Ophthalmology |
| Online Access: | http://dx.doi.org/10.1155/joph/9930116 |
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| _version_ | 1849422058742611968 |
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| author | Hye Won Jun Sun Young Ryu Tae Keun Yoo |
| author_facet | Hye Won Jun Sun Young Ryu Tae Keun Yoo |
| author_sort | Hye Won Jun |
| collection | DOAJ |
| description | Conclusion: ChatGPT-4 not only provides a statistical model for SMILE nomograms but also creates a calculator for user convenience. Clinicians can easily build their own nomogram calculators using only the collected data without coding. The advanced LLM will allow clinicians to conveniently create customized nomogram tools. |
| format | Article |
| id | doaj-art-fa524f8a736c4eceb2f7eecc22417dbf |
| institution | Kabale University |
| issn | 2090-0058 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Ophthalmology |
| spelling | doaj-art-fa524f8a736c4eceb2f7eecc22417dbf2025-08-20T03:31:15ZengWileyJournal of Ophthalmology2090-00582025-01-01202510.1155/joph/9930116Codeless Development of a Customized SMILE Nomogram Using a Large Language Model: A Practical Framework for CliniciansHye Won Jun0Sun Young Ryu1Tae Keun Yoo2Department of OphthalmologyDepartment of Refractive SurgeryDepartment of OphthalmologyConclusion: ChatGPT-4 not only provides a statistical model for SMILE nomograms but also creates a calculator for user convenience. Clinicians can easily build their own nomogram calculators using only the collected data without coding. The advanced LLM will allow clinicians to conveniently create customized nomogram tools.http://dx.doi.org/10.1155/joph/9930116 |
| spellingShingle | Hye Won Jun Sun Young Ryu Tae Keun Yoo Codeless Development of a Customized SMILE Nomogram Using a Large Language Model: A Practical Framework for Clinicians Journal of Ophthalmology |
| title | Codeless Development of a Customized SMILE Nomogram Using a Large Language Model: A Practical Framework for Clinicians |
| title_full | Codeless Development of a Customized SMILE Nomogram Using a Large Language Model: A Practical Framework for Clinicians |
| title_fullStr | Codeless Development of a Customized SMILE Nomogram Using a Large Language Model: A Practical Framework for Clinicians |
| title_full_unstemmed | Codeless Development of a Customized SMILE Nomogram Using a Large Language Model: A Practical Framework for Clinicians |
| title_short | Codeless Development of a Customized SMILE Nomogram Using a Large Language Model: A Practical Framework for Clinicians |
| title_sort | codeless development of a customized smile nomogram using a large language model a practical framework for clinicians |
| url | http://dx.doi.org/10.1155/joph/9930116 |
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