Technical Overview of Osseointegrated Transfemoral Prostheses: Orthopedic Surgery and Implant Design Centered
Bibliographic record
Abstract
Bone-anchored prostheses represent a promising solution to numerous medical complications associated with conventional socket-suspended prostheses. The following technical overview was constructed for engineers and orthopedic surgeons interested in osseointegrated implants for transfemoral prosthesis-residuum interfacing. Existing osseointegrated implants comprise different biomaterial compositions (i.e., titanium alloy versus cobalt-chromium-molybdenum alloy) and mechanical designs (i.e., screw-fixated versus press-fixated devices). Perioperative systems of osseointegration surgery include preoperative assessments (i.e., alongside inclusion and exclusion criteria), intraoperative procedures, and postoperative rehabilitation (i.e., static loading and dynamic gait rehabilitation). The intraoperative procedures involve transecting and reorganizing the residual musculature, embedding the implant into the femoral intramedullary cavity, and coupling the osseointegrated implant to an external prosthesis. Postoperative clinical evaluations have demonstrated significant biomechanical, psychological, and physiological improvements in patients using bone-anchored prostheses compared to conventional socket-suspended prostheses. Nevertheless, bacterial infections surrounding the skin-implant bio-interface, often resulting from Staphylococcus aureus or other coagulase-negative staphylococci, remain a relatively frequent medical complication, which can culminate in periprosthetic osteomyelitis and/or implant extraction. The technical overview concludes with discussing the recent Food and Drug Administration humanitarian use device designations, financial analyses between bone-anchored prostheses and socket-suspended prostheses, and applications of vibrotactile osseoperception for augmenting walking and balance feedback control.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.008 |
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".