Screening for diabetic retinopathy: developing a standardized photographic protocol for St. John's Hospital
Bibliographic record
Abstract
The management of people with diabetes involves input from many healthcare professionals including doctors, nurses, podiatrists and dieticians. In February 1999 at the request of the Consultant Diabetologist a diabetic screening service was established at St. John's Hospital using digital retinal photography. A preliminary photographic protocol was put into place immediately. In order to establish if the protocol was suitable, or at the level of a national standard, the author carried out an extensive literature search. There proved to be a paucity of published information specifically related to guidelines for diabetic retinopathy screening, using a photographic method. The author therefore issued questionnaires to randomly selected medical photography and diabetic screening units throughout the United Kingdom. The research and results of this study has enabled the provision of an effective and efficient retinopathy screening service. Medical photographers are now recognized as part of the diabetic clinic 'team' that care for patients at St. John's Hospital.
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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 | 0.055 | 0.045 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 0.008 |
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".