Trials / Recruiting
RecruitingNCT07183891
Performance of Large Language Models for Structured Recognition and Refractive Prediction
Head-to-Head Evaluation of ChatGPT 4o, GPT-5, and DeepSeek for Structured Extraction, Toric IOL Recommendation, and Refractive Prediction
- Status
- Recruiting
- Phase
- —
- Study type
- Observational
- Enrollment
- 100 (estimated)
- Sponsor
- Jin Yang · Academic / Other
- Sex
- All
- Age
- 18 Years
- Healthy volunteers
- Not accepted
Summary
We conducted a single-center, retrospective observational study to evaluate large language models (ChatGPT 4o, GPT-5, DeepSeek) for automated interpretation of de-identified IOLMaster 700 reports provided as raster images. Models produced structured biometric extraction, toric IOL recommendation, and refractive predictions (sphere, cylinder, axis). Primary outcomes included parameter-level agreement and refractive error metrics; secondary outcomes included decision-support performance for toric IOL selection and agreement on ordered T-codes. No clinical intervention was performed.
Detailed description
This study compares three large language models accessed in their native configurations, without fine-tuning or external tools. For each examination, the original IOLMaster 700 report image was supplied without manual annotation or pre-processing. A standardized instruction required: (i) structured extraction of AL, ACD, LT, WTW, K1/K2 and axes, ΔK, TK1/TK2 and axes, and ΔTK; (ii) binary toric candidacy and T-code according to institutional ALCON mapping; and (iii) refractive recommendations (sphere, cylinder, implantation axis). Each model generated three independent outputs per case. De-identification and IRB oversight (waiver of consent) were implemented according to institutional policy. The unit of enrollment is participants (n=54), with outcomes analyzed per eye (162 eyes) and per model generation where applicable.
Conditions
Timeline
- Start date
- 2025-08-01
- Primary completion
- 2030-12-31
- Completion
- 2035-12-31
- First posted
- 2025-09-19
- Last updated
- 2025-09-19
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT07183891. Inclusion in this directory is not an endorsement.