Patient which underwent ocular biometry measurement using the IOLMaster 700 Intraocular lens power, Ocular biometry, IOL power calculation formula, Barrett Universal II, SRK/T, ChatGPT, Large language model
Conditions
Interventions
Patients with ocular biometry measurement by the IOLMaster 700
Diagnostic
Sponsors
Rajavithi Hospital
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: 1. Age above 18 years 2. Underwent ocular biometry measurement with the IOLMaster 700 with data recorded in Rajavithi Hospital electronic medical record for at least one eye.
Exclusion criteria
Exclusion criteria: 1. Patients with other ocular conditions that affect ocular biometry e.g severe vitreoretinal disease or media opacities corneal disease or any condition that prevents accurate axial length measurement 2. Prior laser vision correction in the study eye or implantation of a phakic intraocular lens 3. Prior cataract surgery in the study eye 4. Prior corneal layer replacement surgery in the study eye 5. Presence of intraocular silicone oil 6. Aphakia 7. Active infection, severe inflammation, or other ocular diseases that could affect ocular biometry 8. Incomplete or unreliable ocular biometry data (e.g. standard deviation > 2 SD)
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Agreement in IOL power (diopters) between ChatGPT5 thinking outputs and IOLMaster 700 calculations using SRK/T and Barrett Universal II The date the ocular biometry was performed with the IOLMaster 700 IOL power difference, Bland Altman analysis reporting mean bias and 95% limits of agreement | — |
Secondary
| Measure | Time frame |
|---|---|
| Agreement in IOL power between ChatGPT5 thinking outputs in different learning prompts The date that the ocular biometry was performed with the IOLMaster 700 Bland Altman analysis reporting mean bias and 95% limits of agreement | — |
Countries
Thailand
Contacts
Public ContactNitee Ratprasatporn
Rajavithi Hospital, Rangsit University
Outcome results
None listed