AI for Healthcare

The panel talk on "AI for Healthcare" will explore the latest advancements and challenges in the field of artificial intelligence (AI) and their applications to healthcare. The panelists will discuss the potential of AI to revolutionize healthcare by improving patient outcomes, enhancing efficiency, and reducing costs. The talk will cover topics such as machine learning, natural language processing, computer vision, and robotics in healthcare. The panelists will also address the ethical and legal issues associated with AI in healthcare, including privacy, security, and bias. The audience will gain insights into how AI is transforming the healthcare industry and the opportunities and challenges it presents for patients, providers, and policymakers.

 

Ahana Gangopadhyay is a Sr. Data Scientist at GE HealthCare based in San Ramon, California. In her current role, she develops deep learning-based products and technologies for medical imaging applications to improve patient monitoring, diagnosis and workflow optimization in healthcare systems. Ahana completed her B.E. degree in Electrical Engineering from Jadavpur University, India and her M.S. and Ph.D. degrees in Electrical Engineering from Washington University in St. Louis, USA. Her dissertation work focused on developing energy-efficient machine learning algorithms inspired by computational principles in biological neural networks. With over 10 years of experience in machine learning and computer vision, she has published several peer-reviewed articles and serves as a reviewer for leading journals and conferences in her domain.