Abstract: Half of the world’s population lack access to healthcare services. Just in the US alone, 30% of the working-age adult population have inadequate health insurance coverage to get even basic access to services. Meanwhile, the healthcare system is known to have large inefficiencies that current technology hasn’t been able to address. In this talk, we will describe how our work on combining latest AI advances with medical experts and online access has the huge potential to change the landscape in healthcare access and provide 24/7 quality healthcare. Combining areas such as NLP, vision, and automatic diagnosis we can augment and scale doctors. We will describe our work on combining expert systems with deep learning to build state-of-the-art medical diagnostic models that are also able to model the unknowns.
Bio: Anitha Kannan is a founding member at Curai where she works on AI-driven disruptive solutions to healthcare. Prior to Curai, she has held senior research positions at Facebook AI research and at Microsoft research. Her research impacted products at Microsoft for which she has received many technical awards, including multiple Gold Star awards. She holds a PhD in machine learning from University of Toronto and was a Darwin Fellow at University of Cambridge. She has extensively published in top-tier conferences with 2500+ citations and holds 25+ patents.
Anitha Kannan, PhD
Head of Machine Learning Research | Curai