Intended Use

Provides additional secondary information as an adjunct to qualified clinical decision-making during antepartum or intrapartum obstetrical monitoring at ≥32 weeks gestation for annotation and summary of fetal heart rate recording and uterine pressure recording for contractions.

Technology

Software uses Long and Short-Term Memory (LSTM) neural networks to identify segments of fetal heart rate tracing corresponding to accelerations, decelerations, baseline, and uninterpretable segments. Contraction detection uses similar processes as its predicate device. It imports fetal monitor data via interfaces and can operate networked or standalone.

Performance

Software underwent risk analysis, requirements review, design review, verification, and validation per FDA guidance. Clinical performance tested via retrospective multi-reader/multi-case study comparing AI results to expert panel ground truth and clinician readers for ≥32 weeks gestation. AI performance was non-inferior and met all acceptance criteria for detection of fetal heart rate accelerations, decelerations, and baseline measurements.

Predicate Devices

No predicate devices specified

Device Timeline

  • 1

    Submission

    4/12/2024

    9 months
  • 2

    FDA Approval

    1/10/2025

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