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Link to Best Practices for Deploying and Scaling Industrial AI

Best Practices for Deploying and Scaling Industrial AI

Artificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.

Link to The Center for Adaptive Edge Intelligence

The Center for Adaptive Edge Intelligence

Adaptive edge intelligence brings real-time decision-making to the point of data creation, whether from sensors, machines, or cameras.

Link to The Value of Vehicle Electrification

The Value of Vehicle Electrification

Electric vehicles (EVs) present automakers with many design, engineering, and manufactu ring challenges.

Link to Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Digital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.

Link to Smart Manufacturing for Automotive

Smart Manufacturing for Automotive

Leading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.

Link to Center for Data Pipeline Automation

Center for Data Pipeline Automation

As businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.

Link to Center for Automated Integration

Center for Automated Integration

The goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.

Link to Continuous Intelligence: Insights

Continuous Intelligence: Insights

Digital transformation requires continuous intelligence (CI). Today’s digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
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Deep Learning AI Accurately Identifies Sleep Disorders

Deep Learning AI Accurately Identifies Sleep Disorders

Previously, the way to identify these disorders would be through manual scoring, which is time-consuming and can lead to inaccuracies.

Written By

Feb 17, 2020

A deep learning model developed by researchers at the University of Eastern Finland is able to identify sleep stages as accurately as a qualified physician.

This could be used to diagnose multiple sleeping disorders, such as obstructive sleep apnea (OSA). Previously, the way to identify these disorders would be through manual scoring, which is time-consuming and can lead to inaccuracies.

SEE ALSO: What We’re Learning About Deep Learning

The deep learning model was fed data from healthy individuals and those with suspected OSA. It was able to correctly identify sleep stages in healthy individuals’ 83 percent of the time and 76 percent of the time for those with severe OSA, similar to the accuracy of an experienced physician.

Instead of the time-consuming manual scoring, the deep learning model is able to predict autonomously and quickly. This reduces the amount of time it takes to diagnose an illness and the cost of assessing a patient, which may lead to a higher volume of assessments.

“Deep learning enables automatic sleep staging for suspected OSA patients with high accuracy and expectedly, the accuracy lowered with increasing OSA severity,” said the paper’s authors.

“Furthermore, the accuracies achieved in the public dataset were superior to previously published state-of-the-art methods. The automatic, single-channel-based sleep staging could enable easy, accurate, and cost-efficient integration of electroencephalography channel recording into diagnostic ambulatory recordings.”

David Curry

David is a technology writer with several years experience covering all aspects of IoT, from technology to networks to security.

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