In-flight Seizures and Fatal Air Embolism
Bibliographic record
Abstract
OBJECTIVE: To describe for the first time, to our knowledge, a case of recurrent in-flight-dependent seizures related to commercial airline flight in which the patient experienced a fatal air embolism secondary to a giant bronchogenic cyst. DESIGN: Case report. SETTING: University hospital. PATIENT: A female airline passenger presented with a seizure, then unconsciousness and death. The patient had experienced 2 previous episodes of in-flight seizures without any sequelae. RESULTS: The patient had an air embolism proved by findings on cranial computed tomography (CT) and a CT perfusion study. The embolism was secondary to a giant bronchogenic cyst that was evident on chest CT. The patient was examined after the previous episodes of in-flight seizures, but no chest radiography had been performed. CONCLUSIONS: We propose minor air embolism as a cause of in-flight seizures. This type of seizure can signify the existence of a giant bronchogenic cyst. We believe that obtaining a chest radiograph can be useful in patients with a history of in-flight seizures to rule out the presence of a bronchogenic cyst and to prevent a possibly fatal air embolism.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".