Obstetric Risk Assessment - The Need for ML-AI

Explore the potential of machine learning and artificial intelligence in obstetric risk assessment through this comprehensive lecture by Basky Tilaganathan. Delve into the current challenges in predicting pregnancy complications and learn how advanced computational techniques can revolutionize maternal healthcare. Discover the latest developments in applying ML/AI to analyze clinical data, imaging results, and patient parameters for more accurate risk stratification. Gain insights into the future of personalized obstetric care and the potential impact on reducing maternal and fetal morbidity. Understand the importance of bridging the gap between clinical expertise and data-driven approaches in improving obstetric outcomes.