A Glance at the Practice of Pediatric Teledermatology Pre- and Post–COVID-19: Narrative Review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: The COVID-19 pandemic has accelerated the use of pediatric teledermatology, with centers showing increased uptake of teledermatology. Pediatric patients possess unique characteristics that pose different challenges with teledermatology compared to adults, in turn affecting the feasibility and uptake of pediatric teledermatology in the community. Objective: This narrative review summarizes the evolution of pediatric teledermatology from pre-COVID-19 pandemic times to the post-COVID-19 period. Methods: A search of MEDLINE, PubMed, and Embase was performed for original articles written in English and published from December 1, 2019, to April 1, 2022. Results: A total of 22 publications were included. Conclusions: Teledermatology will continue to play an increasing role in the management of skin diseases. A mindset shift in the types of conditions deemed suitable for pediatric teledermatology is needed.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 it