Endolift laser an effective treatment modality for forehead wrinkles and frown line
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 search of beauty and youth has received a lot of attention which is proved by increasing cosmetic techniques. The people prefer non-surgical and invasive method for reduction and wrinkles treatment. METHODS: In this study, we used Endolift laser for forehead wrinkles and frown line treatment to evaluate the clinical safety and effectiveness of this technique for reduction of forehead wrinkles and frown line. A total of 9 patients with forehead wrinkles and frown line were included in the current study. The results were investigated using biometric evaluation. Also, assessment was performed clinically and photographically, and physician's assessment and patient satisfaction responses were recorded. RESULTS: According to the biometric results, the skin thickness and elasticity significantly increase after Endolift laser treatment. According to the physician's assessment, 90% of patients displayed very much improvement after Endolift laser treatment, and according to the patient assessment, 91% of patients reported positive satisfaction response. CONCLUSION: Treatment with Endolift laser is safe and an effective method for decrease of forehead wrinkles and frown line treatment. It offers as a non-invasive alternative technique in compared to other invasive procedures for forehead wrinkles and frown line treatment.
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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 | 0.000 |
| 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 it