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Confirmed speakers listed below.
Senior Principal Scientist
Lead Data Scientist
Harvard Medical School
John Hopkins University
Senior Research Scientist
Co-Founder & CSO
Director of Machine Learning
Machine Learning Lead
Head of Data Science
Lead AI Researcher
Chief Medical Officer, Digital
Chief Intelligence and Innovation Officer
CHOC Children’s Orange County
Senior Data Scientist
MGH & BWH Center for Clinical Data Science
Associate Director - Digital Health
LEO Science & Tech Hub
Boston Children's Hospital
VP & CMO
IBM Watson Health
It’s a fact of nature that a single conversation can be interpreted in very different ways. For people with anxiety or conditions such as Asperger’s, this can make social situations extremely stressful. But what if there was a more objective way to measure and understand our interactions?Read More
Researchers at CSAIL believe that deep learning can underpin a new generation of predictive analytics and clinical decision support tools that will safeguard patients in the intensive care unit and improve how EHRs function for decision-making.Read More
As a doctoral candidate at Duke University, Bell developed and patented a novel signal processing technique that produces clearer ultrasound images in real time. The solution could particularly help diagnose problems in people who are obese, because fat tissue can scatter and distort ultrasound waves, delaying the detection of a serious disease.Read More
Arterys Cardio DLTM is the first technology to be cleared by the FDA that leverages cloud computing and deep learning in a clinical setting. It provides automated, editable ventricle segmentations based on conventional cardiac MRI images that are as accurate as segmentations performed manually by experienced physicians.Read More
Discover advances in deep learning tools and techniques from the world's leading innovators across industry, academia and the healthcare sector. Learn from the experts in speech & text recognition, neural networks, image classification and machine learning.
The summit will showcase the opportunities of advancing methods in deep learning and their impact across healthcare & medicine. Discover the deep learning tools & techniques set to revolutionise healthcare applications, medicine & diagnostics from a global line-up of experts.
A unique opportunity to interact with industry leaders, data scientists, founders, CTOs and healthcare professionals leading the deep learning revolution. Learn from & connect with 200+ innovators sharing best practices to advance the deep learning in healthcare revolution.