NVIDIA WEBINAR
Lately hundreds of articles were published both in mainstream media and reputable medical journals demonstrating incredible predictive power of AI models in many areas of medicine. NVIDIA GPU-powered AI has accelerated this discovery rate and assisted researchers and developers to implement their AI models with various AI tools, libraries, framework, platforms and SDK. At the same time, an increasing number of front-line clinicians and health leaders are witnessing the promise of AI in delivering better patient care at their organization. In this talk, we will explore how AI has enhanced workflow in the field of In-vitro fertilisation (IVF) and highlight some key learnings to bring AI from the research lab to the bedside.
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Dr. Ettikan assists innovators, researchers and techno-entrepreneurs to accelerate GPU adaptation for their R&D and software solutioning needs. He has direct experience and passionate in accelerated computing/software research/deep learning, design and development covering end-to-end needs. He also has published numerous publications, patents and software libraries from his past work.
Dr. Aengus is a world-ranked AI engineer and data scientist. He is also a medical doctor who received his training at the University of New South Wales. Aengus is the mind behind IVY an AI that selects the best embryo for IVF. He is passionate about applying machine learning to make healthcare better, faster, and cheaper for the masses through meaningful clinician-AI partnerships.
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Date & Time: Wednesday, April 22, 2018