Magnetic Mallet and Laser for a Minimally Invasive Implantology: A Full Arch Case Report
Bibliographic record
Abstract
In the past, complex rehabilitations, such as the rehabilitation of an entire arch with a prosthesis on implants, were reserved for the few patients who presented an optimal state of health as the interventions were long and traumatic. Nowadays, the use of devices such as the Magnetic Mallet and the laser allows us to perform the same interventions in less time and in a minimally invasive way. The case report we present shows how a fragile patient, subjected to the insertion of eight implants on the same day, had a positive response, thanks to the use of a Magnetic Mallet to prepare the implant sites, the application of the photodynamic therapy without dye (diode laser + hydrogen peroxide) to decontaminate the post-extraction alveoli and the use of an erbium laser to induce more bone bleeding and promote healing. The implants were then loaded in 48 h with a Toronto-type temporary total prosthesis. The patient had a pain-free and complication-free outcome. It is interesting to note how technological development, aimed at reducing the morbidity of surgery, makes it possible to perform almost all surgical therapies, even the most advanced, on any patient, regardless of general health conditions.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.016 | 0.008 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".