Assessing large language models as assistive tools in selecting first trial lens parameters for orthokeratology

LLMs may support routine CRT-related decision support. However, first trial-lens parameter selection required feasibility constraints and clinician verification, with systematic parameter bias mainly involving BC and RZD.

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Publication Details

Journal
Frontiers in Medicine
Published
2026-02-02
DOI
https://doi.org/10.3389/fmed.2026.1741987
Primary Topic
Ophthalmology and Visual Impairment Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Assessing large language models as assistive tools in selecting first trial lens parameters for orthokeratology

Lu Ye, Shaoguo Li, Junhan Wei, Jiaqi Wang et al.
Frontiers in Medicine
Ophthalmology and Visual Impairment Studies
article

Assessing large language models as assistive tools in selecting first trial lens parameters for orthokeratology

Lu Ye, Shaoguo Li, Junhan Wei, Jiaqi Wang, Yiming Guo, Yijin Han
article en

Abstract

LLMs may support routine CRT-related decision support. However, first trial-lens parameter selection required feasibility constraints and clinician verification, with systematic parameter bias mainly involving BC and RZD.

Frontiers in MedicineVol. 13
Shaanxi Provincial People's Hospital (CN)
Openalex Percentile: Top 68%
Ophthalmology and Visual Impairment Studies
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