Visual Performance and Refractive Stability of Clareon® Monofocal Intraocular Lens Implanted with an Automated Delivery System
Bibliographic record
Abstract
Purpose: automated delivery system in a real-world North American setting. Patients and Methods: IOL implantation. Eligible participants were ≥22 years old with best-corrected distance visual acuity (BCDVA) of 0.3 logMAR or worse, targeted for emmetropia, and had <1.0 D of preoperative astigmatism. Exclusion criteria included retinal disease, glaucoma, amblyopia, corneal pathology, and prior intraocular or corneal surgery. Manifest refraction, uncorrected (UDVA), best-corrected (BCDVA), and low-contrast visual acuity (LCVA) were assessed at 1, 3, and 12 months postoperatively. Glistenings were graded using the Miyata scale at 3 and 12 months. Results: No statistically significant changes were observed in manifest refraction, UDVA, or BCDVA between 1 and 3 months (p > 0.05). At 3 months, the mean spherical equivalent was +0.09 D, with low residual astigmatism (-0.33 D). Mean logMAR UDVA and BCDVA were 0.13 and 0.02, respectively. LCVA was 0.04 logMAR. No glistenings were observed at either 3 or 12 months in any patient. Refractive and visual outcomes remained stable over time, with no device-related complications reported. Conclusion: delivery system supports its utility as a reliable option for cataract surgery.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".