ML and Health Care - An Obgyn Perspective by Uma Ram

Explore the intersection of machine learning and healthcare from an obstetrics and gynecology perspective in this insightful lecture. Gain valuable insights from Dr. Uma Ram as she discusses the potential applications and implications of ML technologies in women's health. Discover how artificial intelligence is transforming patient care, diagnosis, and treatment in the field of obstetrics and gynecology. Learn about the challenges and opportunities of integrating machine learning into clinical practice, and understand the impact on improving maternal and fetal health outcomes. Examine real-world case studies and examples of ML applications in areas such as prenatal screening, fetal monitoring, and personalized medicine for women's health issues. Delve into the ethical considerations and data privacy concerns surrounding the use of AI in healthcare, particularly in sensitive areas of women's health. This lecture is part of the "Machine Learning for Health and Disease" program, aimed at bridging the gap between computational expertise and clinical practice in the rapidly evolving landscape of healthcare technology.