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Applications of Deep Learning in Healthcare

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Arguable the two domains where artificial intelligence is poised to have the biggest impact on humanity are autonomous vehicles and healthcare. In each of these application areas, deep learning is starting make significant in-roads and holds the promise of revolutionizing them. In this talk I will give an overview of the use of deep learning models in the space of healthcare, with a particular focus towards medical imaging. In addition, I will give a glimpse of the work being done at Imagen with an aim towards transforming healthcare.


Sumit Chopra is the head of A.I. Research at Imagen Technologies: a well funded stealth startup working towards transforming healthcare using AI. He is interested in advancing AI research with a particular focus towards deep learning in the area of healthcare. Before Imagen, he was a research scientist at Facebook AI Research (FAIR), where he worked on understanding natural language. He graduated with a Ph.D., in computer science from New York University under the supervision of Prof. Yann LeCun. His thesis proposed a first of its kind neural network model for relational regression, and was a conceptual foundation for a startup for modeling residential real estate prices. Following his Ph.D., he was a research scientist at AT&T Labs – Research working on building novel deep learning models for speech recognition, natural language processing, computer vision, and other areas of machine learning, such as, recommender systems, computational advertisement, and ranking.