Bibliographic record
Abstract
Background Prenatal diagnosis of fetal seizures is rarely reported. We present the earliest prenatal case of fetal seizures diagnosed by ultrasound during the 15th week of gestation. Method A 34‐year‐old woman gravida 10, para 3, with 6 miscarriages and 2 healthy living children, was referred for targeted sonographic examination at 15 weeks' gestation because of her bad obstetric history. Normal fetal structures and biometry were revealed. Repetitive episodes of jerking movements of fetal body and limbs were detected. Limited flexion of the limbs was also observed. Results Triple marker screening performed at 17 weeks' gestation was abnormal with a 1:13 risk for Trisomy 21, but the woman refused amniocentesis. The couple received extensive counselling, but refused further investigation and were lost to follow‐up until delivery. At 36 weeks' gestation, the woman was admitted with prom and breech presentation. A female newborn weighing 2000 g with apgars of 8 and 9 and cord ph 7.32 was delivered by cesarean section. Several hours after delivery, the newborn developed apnea and seizures requiring anticonvulsive treatment. The neonatal investigation revealed mitochondrial disease. Conclusion Fetal seizures can be diagnosed in early gestation. In this presentation, we will present the case and review the literature and differential diagnosis of fetal and neonatal seizures.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".