Computational modeling of a prosthetic shoulder: our experience with the anybody modeling system
Bibliographic record
Abstract
When wear or tear of the rotator cuff becomes non-treatable, the glenohumeral joint degeneration can lead to upper limb pseudoparalysis, hence requiring a shoulder arthroplasty. Data indicating the performance of today's prostheses remain unsatisfactory and unpredictable when studying the case of massive rotator cuff tear (MRCT). Computational modeling represents a promising tool for exploring new prosthesis design possibilities. Nevertheless, no MRCT-simulation with a musculoskeletal software is available in the literature. The AnyBody Modeling System has been used to reproduce the MRCT-shoulder in vitro and then to propose a novel prosthetic design that would facilitate the patient's abduction movements following a MRCT. Results showed that with a lateral addition of 19mm on the humeral head, a deltoid strength lowering event occurred after 10° of abduction, reaching a level of -19% of the initial strength at 59°. This study has allowed for the generation of a new computational model that simulates a MRCT-shoulder, as well as the proposal of a non-anatomical prosthesis design which purpose is to reduce the required middle deltoid strength during abduction.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".