Bibliographic record
Abstract
INTRODUCTION: Retinal laser therapy has played a key role in managing numerous retinal vascular diseases, such as diabetic retinopathy, retinal vein occlusion, macular edema, and central serous chorioretinopathy since the 1960s. While conventional laser approaches are shown to be effective, they have been associated with permanent tissue scarring and vision loss. Recent advancements aim to minimize this collateral damage, using subdamaging or selective energy delivery to preserve healthy retina while balancing treatment benefit. AREAS COVERED: This review summarizes novel minimally traumatic retinal laser therapies, including micropulse lasers, selective retina therapy, nanosecond lasers, and other advanced laser and delivery systems. Although supporting clinical studies remains relatively small and longer follow-up is needed for clinical standardization, early results are promising, pointing toward safer and more effective retinal laser treatments options. A literature search of PubMed/MEDLINE and Embase was conducted for studies published up to July 2025. EXPERT OPINION: Minimally traumatic retinal lasers offer a promising adjunctive or alternative treatment for pharmacologic treatments with vision-preserving outcomes with reduced procedural burden. As ongoing research continues to validate safety and efficacy, these therapies will continue to play a critical role in the dynamic field of retinal disease management.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 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 teacher head, 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".