[Comparative study of total knee arthroplasty assisted by robot and remote sensing navigation system].
Bibliographic record
Abstract
OBJECTIVE: To compare clinical efficacy of robot-assisted (RA) and remote sensing navigation alignment (RSNA) system-assisted total knee arthroplasty (TKA). METHODS: ; the courses of disease ranged from 3 to 33 months with an average of (17.93±9.20) months;RA was performed. Operation time, incision length, latent blood loss at 2 weeks after operation and incidence of lower extremity thrombosis were compared between two groups. Hip-knee ankle angle (HKAA), HKAA deviation, lateral distal femoral angle ( LDFA), medial proximal tibial angle (MPTA) and posterior tibial slope (PTS) were compared between two groups;Western Ontario McMaster Universities Osteoarthritis Index (WOMAC) and Knee Society score (KSS) were used to evaluate functional recovery before operation, 3 and 6 months after operation. RESULTS: <0.05). CONCLUSION: Both RA and RSNA system assisted TKA could obtain accurate osteotomy, RA has higher surgical accuracy, RSNA system assisted operation has less trauma, and operation is simpler.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".