Obstetric Risk Assessment - The Need for ML-AI
Offered By: International Centre for Theoretical Sciences via YouTube
Course Description
Overview
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.
Syllabus
Obstetric Risk Assessment: The Need for ML/AI by Basky Tilaganathan
Taught by
International Centre for Theoretical Sciences
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent