Utilizing the VISIA Camera for Analyzing 5-Fluorouracil Treatment Efficacy for Actinic Keratosis
Bibliographic record
Abstract
Unlabelled: The VISIA camera is a device that captures images of the skin, offering a detailed look at skin health by detecting changes that are often missed during physical exams and by the naked eye. It can help identify changes in UV damage, pigmentation, texture, fine lines, and redness. In dermatology, it has become a useful tool to build targeted treatment plans and follow patient progress over time. We present a case of a male patient diagnosed with diffuse scalp actinic keratoses who was treated with topical 5-fluorouracil (5-FU). VISIA images were taken before treatment, at one week, and again three months following therapy. The images were reviewed for changes in UV spots, texture, and other generalized spots. Results revealed a decrease in UV spots, a temporary improvement in texture followed by a later rise, and no significant change in generalized spots. This case highlights the value of VISIA imaging as an objective method for assessing treatment response and evaluating the effectiveness of 5-FU in the management of actinic keratoses.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".