10 Radiofrequency-Assisted Liposuction for Body Contouring
Bibliographic record
Abstract
Body contouring has been addressed through liposuction alone or with skin excision procedures. Traditionally, only individuals with relatively mild skin excess could be managed with liposuction alone. There has long been a need for a technology that can safely and reproducibly tighten skin without lengthy incisions. Radiofrequency (RF) induced thermal contraction has been used in various medical and surgical specialties for many years but was only approved by the FDA in 2016 to assist in body contouring. The radiofrequency-assisted liposuction (RFAL) device Bodytite (Inmode, Ltd, Toronto, Canada) utilizes this effective technology to specifically heat the subcutaneous tissue and the skin in an effective, safe, and reproducible way. In this chapter, we offer an overview of the Bodytite device including the built-in safeguards, a guide to proper patient selection, and highlight the pearls and pitfalls of this exciting technology. RFAL is a powerful tool for thermal contraction of the soft tissues throughout the body in properly selected cases.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.058 | 0.035 |
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".