Use of the SurroSense Rx System for Sensory Substitution of the Insensate Plantar Foot Resurfaced With Latissimus Dorsi Muscle Free Flap and Skin Graft
Bibliographic record
Abstract
Degloving injuries of the foot pose an important challenge to the reconstructive surgeon. Key features of reconstruction include sensibility, stability, and durability. Preservation of plantar sensibility is considered to be a critical factor in the evaluation of lower extremity trauma, with its absence once being considered an indication for amputation. However, recent studies show that outcomes following limb preservation are not as adversely affected by a lack of plantar sensation than was once thought. With the increasing practice pattern of attempting limb salvage in the face of impaired plantar sensation, methods and devices designed to provide patients with maximal protection for loss of protective sensation (LOPS) in the affected limb are critical. The authors present the innovative use of the SurroSense Rx smart insole system (Orpyx Medical Technologies Inc, Calgary, Canada) in the management of LOPS in a patient with a degloving injury of the foot that was reconstructed with a latissimus dorsi free flap and skin graft. To the authors’ knowledge, this is the first reported case of use of such a system following a traumatic injury to the lower extremity.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".