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Continuous monitoring of cervical dilatation and fetal head station during labor

2006· article· en· W1964635500 on OpenAlexaff
Yehuda Sharf, Dan Farine, Moshe Batzalel, Yuri Megel, Michael Shenhav, Ariel J. Jaffa, Ofer Barnea

Bibliographic record

VenueMedical Engineering & Physics · 2006
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsMount Sinai Hospital
Fundersnot available
KeywordsFetal headCervical dilatationCervixMedicineFetal monitoringHead (geology)ObstetricsFetusPregnancyInternal medicine

Abstract

fetched live from OpenAlex

An ultrasound-based computerized system was developed for monitoring cervix dilatation and fetal head station during labor. The system was designed to provide continuous and accurate assessment of the progression of labor. The computerized labor-monitor (CLM) was tested in the laboratory and was studied in over 95 women during labor. The laboratory test showed that the mean error of measurement is 0.1 mm with standard deviation of 1.14 mm. In the clinical experiments, safety of the various system components was demonstrated and partograms were compared to manual measurements. The systematic error of the fetal head station measurement is estimated as 10-20%, depending on patient's anatomy. In addition, the clinical tests indicated that measurements of the changes of both cervix dilatation and fetal head station are feasible. The CLM is expected to change patient management in the labor room. It will enable timely recognition of abnormal labor patterns such as dysfunctional and precipitous labor. Continuous accurate data will allow earlier diagnosis and intervention that is very likely to improve both mother's and baby's clinical outcome.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.009
GPT teacher head0.285
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations40
Published2006
Admission routes1
Has abstractyes

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