Obstetrics

AI-powered fetal monitoring and pregnancy care

Obstetrics Care

AI-Powered Obstetric Care

Transform pregnancy care with advanced fetal heart monitoring, intelligent risk assessment, and comprehensive prenatal analysis for optimal maternal and fetal outcomes.

98.7%
Fetal Distress Detection
45%
Earlier Risk Detection
92%
C-Section Prediction
24/7
Continuous Monitoring

Fetal Heart Monitoring

  • Advanced CTG Analysis: Real-time interpretation of fetal heart rate patterns with baseline variability and acceleration analysis
  • Fetal Distress Detection: Early identification of hypoxia, bradycardia, and non-reassuring patterns with severity grading
  • Contraction Correlation: Intelligent analysis of FHR changes relative to uterine contractions and maternal position
  • Predictive Alerts: AI-powered early warning system for potential fetal compromise requiring immediate intervention

Pregnancy Risk Assessment

  • Preeclampsia Prediction: Multi-factor analysis of blood pressure, proteinuria, and biomarkers for early preeclampsia detection
  • Gestational Diabetes Screening: Advanced glucose tolerance analysis with personalized risk stratification
  • Preterm Labor Risk: Cervical length assessment and biochemical markers for preterm delivery prediction
  • Growth Restriction Detection: Fetal biometry analysis with Doppler studies for IUGR identification

Advanced Obstetric Ultrasound Analysis

Fetal Biometry

Automated measurement of biparietal diameter, head circumference, abdominal circumference, and femur length with growth percentile calculation

Doppler Analysis

Umbilical artery, middle cerebral artery, and uterine artery Doppler assessment with cerebroplacental ratio calculation

Anomaly Detection

AI-powered identification of fetal structural abnormalities, neural tube defects, and cardiac anomalies with severity assessment

Obstetric Conditions Supported

High-Risk Pregnancies

  • • Preeclampsia and HELLP syndrome
  • • Gestational diabetes mellitus
  • • Preterm labor and cervical insufficiency
  • • Placental abnormalities (previa, abruption)
  • • Multiple gestations and twin-to-twin transfusion

Fetal Complications

  • • Intrauterine growth restriction (IUGR)
  • • Fetal cardiac abnormalities
  • • Neural tube defects and CNS anomalies
  • • Chromosomal abnormalities screening
  • • Oligohydramnios and polyhydramnios

Labor Management

  • • Labor progression monitoring
  • • Cervical dilation assessment
  • • Fetal station and position tracking
  • • Contraction pattern analysis
  • • Epidural effectiveness monitoring

Delivery Outcomes

  • • Cesarean section prediction and timing
  • • Vacuum/forceps delivery assessment
  • • Shoulder dystocia risk prediction
  • • Postpartum hemorrhage prevention
  • • VBAC success probability

Obstetric Workflow Integration

1

Prenatal Assessment

Comprehensive maternal history, risk factor analysis, and baseline measurements with AI-powered risk stratification

2

Continuous Monitoring

Real-time fetal heart monitoring, maternal vital signs tracking, and automated pattern recognition with alert system

3

Risk Analysis

Multi-parameter analysis for complication prediction with personalized care recommendations and intervention timing

4

Delivery Planning

Evidence-based delivery recommendations with timing optimization and complication prevention strategies

Clinical Case Study

Patient Presentation

Case: 32-year-old G2P1, 36 weeks gestation with hypertension

Symptoms: Mild headache, 2+ proteinuria, rising BP

Initial Assessment: Borderline preeclampsia features

Challenge: Timing of delivery vs. expectant management

SynThera AI Analysis

Risk Assessment: 89% probability of severe preeclampsia within 48h

Fetal Analysis: Decreased variability, concerning Doppler patterns

Recommendation: Immediate corticosteroids and delivery planning

Outcome: Delivery at 36+2 weeks, healthy mother and baby

Result: AI-powered risk prediction enabled timely intervention, preventing maternal seizure and fetal compromise while optimizing delivery timing.

Clinical Validation & Research

Clinical Studies

  • • 75,000+ pregnancy monitoring dataset
  • • Multi-center obstetric validation trials
  • • ACOG-endorsed prediction algorithms
  • • Published in AJOG and Obstetrics & Gynecology

Performance Metrics

  • • 98.7% sensitivity for fetal distress detection
  • • 92% accuracy in C-section prediction
  • • 45% earlier preeclampsia identification
  • • 78% reduction in false alarms

Transform Your Obstetric Practice

Join leading maternity centers using SynThera's AI for superior pregnancy care. Enhance fetal monitoring accuracy and improve maternal outcomes with intelligent obstetric support.