Computerized modeling and animation system for use in Anatomy lectures
Bibliographic record
Abstract
Traditional lectures in Anatomy rely on two‐dimensional illustrations or photographs derived from standard textbooks. However, with increased sophistication of laptop computing, three‐dimensional model reconstruction systems have increased the ease with which models and animations can be used for introducing complex concepts within a didactic lecture. The purpose of this study was to develop a technique to facilitate computerized anatomical models for use in anatomy lectures. Cadaveric material was obtained and scanned using a Polhemus hand‐held scanner and exported as an.obj file. The file was imported into Maya (Alias Software) and vertices were edited accordingly. The models were then exported as a.dxf file and imported into WinSURF (SURFdriver Software) and rendered with realistic texture and surface maps (SURFdriver Maps software). Once loaded, the reconstructions can be manipulated using rotation and enlargement tools, or colors can be changed to highlight specific areas. Examples are provided for the skull and cervical plexus, ocular testing, and vertebral morphology. Results of this study show that anatomical models can be generated easily and effectively and can be tailored for a specific lecture.
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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".