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Transforming Healthcare at GTC Silicon Valley

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The GPU Technology Conference (GTC) brings together the leading minds in AI and healthcare that are driving advances in the industry - from top radiology departments and medical research institutions to the hottest startups from around the world. Can't miss panels and trainings at GTC Silicon Valley

Publicada em: Saúde e medicina

Transforming Healthcare at GTC Silicon Valley

  1. 1. Can’t Miss Panels and Trainings at GTC Silicon Valley 2019 Transforming Healthcare, Transforming Lives
  2. 2. THE LATEST ADVANCES IN HEALTHCARE The GPU Technology Conference (GTC) brings together the leading minds in AI and healthcare that are driving advances in the industry - from top radiology departments and medical research institutions to the hottest startups from around the world.
  3. 3. A MEETING OF THE MINDS IN MEDICINE The conference, held March 18th to 21st in San Jose, will feature 40+ dedicated healthcare sessions covering genomics, medical imaging and computational chemistry. Presentations will include five of the top seven radiology departments in the country, and four of the top five research medical universities.
  4. 4. With over 1,200 peer-reviewed articles and more than 200,000 citations, Dr. Eric Topol, the founder and director of Scripps Research Translational Institute, was named a top 10 most-cited researcher in medicine and elected to the National Academy of Medicine. Hear his perspective on how AI improves health systems, empowers clinicians, and provides patients access to better, quality care. KEYNOTE: DR. ERIC TOPOL SESSION INFO Source: https://gputechconf2019.smarteventscloud.com/connect/sessionDetail.ww?SESSION_ID=286127&ncid=so-sli-gj-77201
  5. 5. Data - the backbone of generating accurate models in medical imaging. The problem - the lack of it. At GTC, Johns Hopkins University, Subtle Medical, and Tel Aviv University will present data augmentation techniques for healthcare applications and how they overcame the challenge of data sparsity. SESSION: DATA AUGMENTATION & GANS SESSION INFO Source: https://gputechconf2019.smarteventscloud.com/connect/sessionDetail.ww?SESSION_ID=290455&ncid=so-sli-gj-77200
  6. 6. GPU technologies have ushered in a new wave of medical possibilities. Reduced MRI scan times with increased reconstruction accuracy, simulating photon trajectories in nuclear medical imaging, and real-time simulations of the physics behind thermal tumor ablation are just the beginning. Explore the potential of HPC to drive medical imaging innovation with Ne-Scientific, Mediso Ltd. and COMSATS University Islamabad. SESSION: HPC-POWERED WORKFLOWS SESSION INFO Source: https://gputechconf2019.smarteventscloud.com/connect/sessionDetail.ww?SESSION_ID=290459&ncid=so-sli-gj-77199
  7. 7. Integrating AI into hospitals has the potential to enhance operational efficiencies and improve patient outcomes. Listen to MGH & BWH Center for Clinical Data Science and Nuance Communications describe how high- performance computing, artificial intelligence, and photo-realistic rendering are revolutionizing medical imaging. SESSION: BRINGING AI TO THE CLINIC SESSION INFO Source: https://gputechconf2019.smarteventscloud.com/connect/sessionDetail.ww?SESSION_ID=290454&ncid=so-sli-gj-77313
  8. 8. This class will focus on basic concepts and pitfalls of training convolutional neural networks (CNNs), and walk the attendee through a working example. This course will use a data set we created, that we call 'MedNIST' and consists of 1000 images each from 5 different categories: Chest X-ray, hand X-ray, Head CT, Chest CT, Abdomen CT, and Breast MRI. TRAINING: MEDICAL IMAGE CLASSIFICATION SESSION INFO Source: https://gputechconf2019.smarteventscloud.com/connect/sessionDetail.ww?SESSION_ID=278678&ncid=so-sli-gj-77198
  9. 9. This training will focus on the use of deep learning methods for segmentation, with particular emphasis on 3D techniques (V-Nets) applied to the challenge of MR brain segmentation. While focus on this particular problem, the concepts should generalize to other organs and image types. TRAINING: 3D SEGMENTATION FOR MEDICAL IMAGING SESSION INFO Source: https://gputechconf2019.smarteventscloud.com/connect/sessionDetail.ww?SESSION_ID=278681&ncid=so-sli-gj-77197
  10. 10. Getting large datasets are important for most deep learning applications, especially in medical imaging. Generative Adversarial Networks (GANs) are a deep learning technology in which a computer is trained to create images that look very “real” even though they are completely synthetic. Learn how GANs can help solve the data shortage problem in medicine. TRAINING: DATA AUGMENTATION & SEGMENTATION SESSION INFO Source: https://gputechconf2019.smarteventscloud.com/connect/sessionDetail.ww?SESSION_ID=278680&ncid=so-sli-gj-77196
  11. 11. In this training, discover introductory techniques in data augmentation and standardization to apply to your medical imaging datasets to obtain the best results from your deep learning system. TRAINING: DATA SCIENCE TOOLS FOR MEDICAL DEEP LEARNING SESSION INFO Source: https://gputechconf2019.smarteventscloud.com/connect/sessionDetail.ww?SESSION_ID=278683&ncid=so-sli-gj-77195
  12. 12. NVIDIA CEO Keynote Connect with Experts Discover the Latest Technology MORE REASONS TO ATTEND REGISTER NOW Source: https://www.nvidia.com/en-us/gtc/pricing/?ncid=so-sli-gj-77194

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