Detección de hemorragia oculta utilizando un nuevo protocolo denominado UFOH: Ultrasound For Occult Hemorrhage-hemorragia oculta detectada por ecografía
Bibliographic record
Abstract
Resumen La ecografía abdominal como «point of care», en el punto de atención, ha surgido como una herramienta potente para los clínicos, habiéndose convertido en una herramienta rutinaria a pie de cama para diagnosticar, manejar la hemodinámica, supervisar el estado de los líquidos y guiar los procedimientos de urgencias y cuidados críticos. Se utiliza comúnmente Extended Focused Assessment with Sonography for Trauma para detectar sangre libre intraperitoneal en el ámbito traumático, pudiendo ser también una opción en los pacientes no traumáticos. Sin embargo, tiene limitaciones significativas para la detección de la hemorragia gastrointestinal o retroperitoneal. Hasta la fecha, no existe ningún protocolo ecográfico descrito para el diagnóstico de la hemorragia oculta en el espacio retroperitoneal. Describimos un nuevo protocolo ecográfico denominado Ultrasound For Occult Hemorrhage para el diagnóstico rápido de la hemorragia oculta. Dicho protocolo es un nuevo enfoque ecográfico diseñado para detectar el sangrado oculto en diversos ámbitos clínicos, incluyendo los servicios de urgencias, cuidados intensivos y el entorno perioperatorio.
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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 | 0.022 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".