Current Applications of 3-D Intraoperative Navigation in Craniomaxillofacial Surgery
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Intraoperative navigation is a tool that provides surgeons with real-time, interactive access to their patient's diagnostic imaging studies while in the operating room. This modality allows for anatomic localization and facilitates intraoperative planning and diagnosis. The application of intraoperative navigation to neurosurgery, otolaryngology, and orthopedic surgery has been well documented; however, only isolated reports have analyzed its potential in the field of craniomaxillofacial surgery. Advancements in 3-dimensional navigational systems have greatly improved the accuracy of the technology, further broadening its scope. In this article, we evaluate a series of 101 craniomaxillofacial cases in which intraoperative navigation was used. The most common application was for intraorbital cases, such as enophthalmos and acute orbital fracture repairs. Other applications included tumor resection, osteotomy design, pathology localization, and craniotomy design. The major limitations of this technology have been its cost and the fact that it cannot reliably be used for soft-tissue reconstruction currently.
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.
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 | 0.001 | 0.001 |
| 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 it