Triaging COVID-19 Patients: 20 Hospitals in 20 Days Build AI Model that Predicts Oxygen Needs

Researchers at NVIDIA and Massachusetts General Brigham Hospital have developed an AI model that determines whether a person showing up in the emergency room with COVID-19 symptoms will need supplemental oxygen hours or even days after an initial exam. The original model, named CORISK, was developed by scientist Dr. Quanzheng Li at Mass General Brigham. Read article >

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Top Healthcare Innovators Share AI Developments at GTC

Healthcare is under the microscope this year like never before. Hospitals are being asked to do more with less, and researchers are working around the clock to answer pressing questions. NVIDIA’s GPU Technology Conference brings everything you need to know about the future of AI and HPC in healthcare together in one place. Innovators across Read article >

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Startup’s AI Platform Allows Contact-Free Hospital Interactions

Hands-free phone calls and touchless soap dispensers have been the norm for years. Next up, contact-free hospitals. San Francisco-based startup Ouva has created a hospital intelligence platform that monitors patient safety, acts as a patient assistant and provides a sensory experience in waiting areas — without the need for anyone to touch anything. The platform Read article >

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Taking the Heat Off: AI Temperature Screening Aids Businesses Amid Pandemic

As businesses and schools consider reopening around the world, they’re taking safety precautions to mitigate the lingering threat of COVID-19 — often taking the temperature of each individual entering their facilities. Fever is a common warning sign for the virus (and the seasonal flu), but manual temperature-taking with infrared thermometers takes time and requires workers Read article >

Smart Hospitals: DARVIS Automates PPE Checks, Hospital Inventories Amid COVID Crisis

After an exhausting 12-hour shift caring for patients, it’s hard to blame frontline workers for forgetting to sing “Happy Birthday” twice to guarantee a full 30 seconds of proper hand-washing. Though at times tedious, the process of confirming such detailed, protective measures like the amount of time hospital employees spend sanitizing their hands, the cleaning Read article >

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Taking AI to Market: NVIDIA and Arterys Bridge Gap Between Medical Researchers and Clinicians

Around the world, researchers in startups, academic institutions and online communities are developing AI models for healthcare. Getting these models from their hard drives and into clinical settings can be challenging, however. Developers need feedback from healthcare practitioners on how their models can be optimized for the real world. So, San Francisco-based AI startup Arterys Read article >

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NVIDIA CEO Introduces NVIDIA Ampere Architecture, NVIDIA A100 GPU in News-Packed ‘Kitchen Keynote’

NVIDIA today set out a vision for the next generation of computing that shifts the focus of the global information economy from servers to a new class of powerful, flexible data centers. In a keynote delivered in six simultaneously released episodes recorded from the kitchen of his California home, NVIDIA founder and CEO Jensen Huang Read article >

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Medical AI Startup Quickly Shifts Strategy to Fight COVID-19 Pandemic

The COVID-19 pandemic has disrupted the world like few events before it. But for Shukun Technology, a response required “a minor change in our strategy,” according to its chief technology officer, Chao Zheng. That’s because Shukun, a startup founded by some of China’s brightest AI and medical minds, was busy refining its AI-powered platform to Read article >

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NVIDIA and King’s College London Announce MONAI Open Source AI Framework for Healthcare Research

It’s never been more important to put powerful AI tools in the hands of the world’s leading medical researchers. That’s why we’re introducing MONAI, our latest initiative with King’s College London. This open-source AI framework for healthcare builds on the best practices from existing tools, including NVIDIA Clara, NiftyNet, DLTK and DeepNeuro. MONAI is user-friendly, Read article >

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Medical Institutions Collaborate to Improve Mammogram Assessment AI with NVIDIA Clara Federated Learning

An international group of hospitals and medical imaging centers recently evaluated NVIDIA Clara Federated Learning software — and found that AI models for mammogram assessment trained with federated learning techniques outperformed neural networks trained on a single institution’s data. Deep learning models depend on large, diverse datasets to achieve high accuracy. Developers often amass data Read article >

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