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Device-based methods in facial skin restoration during rehabilitation after plastic and reconstructive surgeries

2025· article· en· W4414964176 on OpenAlexaboutno aff
K.S. Hutchenko, Olena Shevchuk, A.O. Savitska, V. Kozachuk, S.V. Shevchuk

Bibliographic record

VenueMedicni perspektivi · 2025
Typearticle
Languageen
FieldMedicine
TopicDigital Imaging in Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsReconstructive surgeryRehabilitationPlastic surgeryDuration (music)Biometrics

Abstract

fetched live from OpenAlex

An analysis of current scientific literature shows that device-based treatment methods play an important role in the comprehensive postoperative rehabilitation of patients after reconstructive and plastic surgery on the face. Despite the active introduction of radiofrequency, laser, ultrasound and light methods into clinical practice, the question of comparing their effectiveness remains open. This is particularly relevant in the treatment of the consequences of deep mechanical and thermal damage, which are accompanied by complex processes of skin restoration. Objective: to conduct an analysis, including a multidimensional comparative analysis, of device-based methods for facial skin restoration during rehabilitation after plastic and reconstructive surgery. The study involved 72 subjects (women and men, average age 40.5±8.1 years) who underwent plastic or reconstructive surgery on the face. Depending on the method of hardware exposure, patients were divided into four groups: radiofrequency, laser, ultrasound (HIFU) and light (LED/IPL) therapy. The control group (n=24) consisted of patients who received only traditional treatment without device-based methods. The Vancouver Scar Scale (VSS), biometric parameters (Cutometer®, Corneometer®), dermatoscopy and the visual analogue scale (VAS) were used to evaluate the results. A multidimensional comparative analysis was performed using the sum of squares method, which took into account five key characteristics: clinical effectiveness, duration of the procedure, number of sessions, interval between surgery and the start of therapy, and cost of treatment. LED light therapy received the highest rating (R=1), which was characterised by the shortest interval between surgery and the start of treatment (21 days), the lowest cost (6,000 UAH) and the shortest duration of the procedure (0.5 hours). Radiofrequency and non-ablative laser therapies received the same rating (R=2), indicating their high effectiveness but longer and more expensive therapy (1 hour and 9-15 thousand UAH, respectively). The ultrasound method ranked third (R=3) due to significant time (90 days) and financial (15,000 UAH) constraints, as well as the duration of the procedure (1.5 hours). The results of the study indicate the advisability of early inclusion of LED and radiofrequency therapy in standardised rehabilitation protocols to improve skin healing quality, reduce the risk of scarring and enhance the overall aesthetic effect after plastic and reconstructive surgery on the face.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score0.765

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.337
Teacher spread0.327 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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