Real-Time Obstetric Risk Prediction System
Medical DicomClassification
Designing and implementing a real-time clinical decision support system to predict the probability of Cesarean delivery and
fetal distress during labor using pre-trained machine learning models.
• Developing a dynamic monitoring pipeline that updates risk probabilities as new maternal and fetal measurements are
introduced, integrating static and time-evolving clinical features
Designing and implementing a real-time clinical decision support system to predict the probability of Cesarean delivery and fetal distress during labor using pre-trained machine learning models. • Developing a dynamic monitoring pipeline that updates risk probabilities as new maternal and fetal measurements are introduced, integrating static and time-evolving clinical features
2025 - Present