Photorefractive Keratectomy With Customized Segmental Ablation to Correct Irregular Astigmatism After Laser in situ Keratomileusis
Why this work is in the frame
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Bibliographic record
Abstract
PURPOSE: To correct irregular astigmatism after laser in situ keratomileusis (LASIK) with customized segmental ablation using the Nidek OPD-Scan (ARK-10000) to guide the Nidek EC-5000 excimer laser with the Final Fit software. METHODS: One eye of a patient that had undergone LASIK and one enhancement was treated using photorefractive keratectomy (PRK) with customized segmental ablation. OPD-Scan maps were analyzed before and after surgery. The Final Fit software was used to link the OPD-Scan to the EC-5000 laser to guide the customized ablation. RESULTS: At 1 month postoperatively, best spectacle-corrected visual acuity had improved from 20/20-2 to 20/15-2, the patient's subjective evaluation of vision was markedly improved, and the postoperative OPD-Scan maps appeared more regular. CONCLUSION: Customized segmental ablation can be performed using the Nidek OPD-Scan and Final Fit software to improve best spectacle-corrected visual acuity and minimize irregular astigmatism, which may result from prior surgical procedures.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it