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RSNA 2018: Top 5 Hot-Shot AI and Machine Learning Updates For Healthcare Space

Leaders in Healthcare Space are Demonstrating their AI and Data Science Insights and Products at the ongoing RSNA 2018 

At the Radiological Society of North America (RSNA), we are witnessing an unmatched, unfathomable convergence of advanced imaging and intelligence technologies for radiology and its related specialties. From advanced image recognition, visualization to AI for radiologists, the exhibitors at the event have showcased some of the best ideas to the world so far… with more to come this week!

This article brings you the top five updates from the RSNA 2018 that could further disrupt the medical diagnosis and imaging industry in 2019.

Samsung Demonstrates Its Vision of AI in Medical Imaging for Radiologists

At RSNA 2018, Samsung has applied its AI algorithms to assist diagnosis in each of its imaging modalities.

via Samsing at RSNA 2018
via Samsing at RSNA 2018

Samsung has taken a leadership stance at RSNA 2018 by showcasing a powerful set of AI-driven medical imaging technology for radiologists. The technology leader’s latest offering is S-Detect™. S-Detect for Breast is an AI-based software that can diagnose breast lesions using ultrasound images. The technology is already part of and implemented into Samsung’s ultrasound systems dedicated to Radiology.

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Together with AI and digital imaging, Samsung intends to empower medical practitioners and radiologists with new diagnostic tools that can improve diagnostic accuracy in the healthcare business.

Spotlight on AI To Look into the “Matters of Heart”

Well, this is easily the most innovative application of AI showcased at the RSNA 2018. HeartVista is revolutionizing the MRI applications with AI by bringing autonomous technology for accurate imaging.

HeartVista’s AI-based software automatically prescribes the standard cardiac views in as little as 10 seconds while the patient breathes freely. HeartVista’s autonomous protocol detects MRI movements and prompts the radiologist if the image is unclear or inaccurate.

Arterys Viewer: Bringing Shared Workplaces Concept to Radiology

Together with a host of other AI-powered technologies, Arterys demoed Arterys Viewer. Arterys Viewer is designed to empower the radiologists and clinicians browse through MRI and imaging analysis via the shared workplace.

The company also showcased Arterys Liver AI, Cardio AIMR, and Lung AI to offer deep learning and quantum computing enhancements to its existing suite of medical imaging Cloud.

Recommended: Interview With Jeff Green, Founder And CEO, Virtex Apps

Guerbet and IBM Watson Bring Patient Information System at Fingertips

A pioneer in the contrast-agent field, Guerbet showcased the power of its collaboration with IBM Watson Health at RSNA 2018. Guerbet, together with another IBM Watson Health partner Imalogix, is reinventing the flywheel of deep learning and AI for patient information facility.

Guerbet will also demonstrate Patient Synopsis at RSNA 2018 alongside its Digital Services offerings. Guerbet, an IBM Business Partner, and IBM are finalizing the terms by which Guerbet will become the first reseller of Patient Synopsis. This planned reseller relationship is in addition to IBM and Guerbet’s ongoing efforts to co-develop and distribute innovative, clinical decision support solutions.

Earlier this year, Guerbet signed a joint development agreement with IBM Watson Health to develop an AI software solution supporting liver cancer diagnostics and care which will be a great addition to Guerbet’s Digital Services portfolio in the near future.

NVIDIA, Nuance and Much More in Data Science

NVIDIA is partnering with leading healthcare institutions and organizations like the American College of Radiology, GE Healthcare and Nuance. Their aim is to bring to market new solutions that transform healthcare powered by AI, machine learning and other intelligence technologies.

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GE Healthcare and Nuance would leverage NVIDIA’s AI and deep learning platform to bring Artificial Intelligence to medical imaging. NVIDIA’s AI computing platform would drive G2 Healthcare’s 500,000 imaging devices with an unprecedented access to high-speed computing.

The second partnership with Nuance aims to bring machine learning to radiologists and data scientists across the entire healthcare system. Nuance is announcing its new AI Marketplace for Diagnostic Imaging.

With a galaxy of AI/ML and data science updates from the RSNA 2018, we would closely follow the companies looking to disrupt the industry in a big way in 2019. Coming later this week, we have our eyes set on the demonstrations from Google Cloud, Arterys, Philips Healthcare, Siemens Healthineers, and contextflow. Data scientist Fei-Fei Li would be presenting her plenary on building ambient intelligence in AI Healthcare spaces on 29 November.

Read Also: Setting The Stage Now For Artificial Intelligence Success In 2019

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