• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Skip to footer

My TechDecisions

  • Best of Tech Decisions
  • Topics
    • Video
    • Audio
    • Mobility
    • Unified Communications
    • IT Infrastructure
    • Network Security
    • Physical Security
    • Facility
    • Compliance
  • RFP Resources
  • Resources
  • Podcasts
  • Subscribe
  • Project of the Week
  • About Us
    SEARCH
Mobility, News

AI Researchers Say There are Problems with Machine Learning COVID Diagnosis

Problems with a COVID-19 diagnosing machine learning model is further evidence that these models are only as good as the datasets used to generate them.

March 24, 2021 Adam Forziati Leave a Comment

NTT Research says organizations are no more prepared for disaster than the pandemic

AI and healthcare professionals are warning of concerns over a machine learning algorithm made for diagnosing COVID-19.

The idea behind these technologies was to help health professionals tell the difference between coronavirus and other similarly-presenting ailments like pneumonia.

But concerned professionals say changes need to be made before the COVID diagnosis machine learning is used in a clinical environment.

More from a recent VentureBeat article: 

Of those 62 papers included in the analysis, roughly half made no attempt to perform external validation of training data, did not assess model sensitivity or robustness, and did not report the demographics of people represented in training data.

“Frankenstein” datasets, the kind made with duplicate images obtained from other datasets, were also found to be a common problem, and only one in five COVID-19 diagnosis or prognosis models shared their code so others can reproduce results claimed in literature.

“In their current reported form, none of the machine learning models included in this review are likely candidates for clinical translation for the diagnosis/prognosis of COVID-19,” the paper reads. “Despite the huge efforts of researchers to develop machine learning models for COVID-19 diagnosis and prognosis, we found methodological flaws and many biases throughout the literature, leading to highly optimistic reported performance.”

Publicly available datasets also commonly suffered from lower quality image formats and weren’t large enough to train reliable AI models.

How does that old expression go? — “the problem with computers is that they do exactly what you tell them to do.”

I love that saying because, despite the fact that AI is growing the point of teaching itself without as much human intervention, it’s still a glorified computer. A model is still only as good as the data being fed to it, and instances like this only underline just how much of a strict science machine learning is.

My TechDecisions Podcast Episode 107: Artificial Intelligence in the Enterprise

 

If you enjoyed this article and want to receive more valuable industry content like this, click here to sign up for our digital newsletters!

Tagged With: Artificial Intelligence, Coronavirus, COVID-19, Machine Learning

Related Content:

  • Rearview shot of two young designers giving each other a fist bump in an office, on display is Crestron desk scheduling device Crestron Introduces Desk Q and Desk Touch Scheduling…
  • CI SSI cover Commercial Integrator and Security Sales & Integration Magazines…
  • cyber-attack-skull Spike in Cyberattacks Exposes Vulnerabilities in University Security…
  • OptixAV RMM Solution Solutionz OPTIXAV RMM Platform for AV Environments Now…

Free downloadable guide you may like:

  • ChatGPT, generative AI, enterprise, workplaceBlueprint Series: ChatGPT and Generative AI in the Workplace

    This latest release of the TechDecisions Blueprint Series explores the new phenomenon of tools such as ChatGPT and how IT leaders should go about deploying generative AI in their organizations.

Reader Interactions

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Get the FREE Tech Decisions eNewsletter

Sign up Today!

Latest Downloads

Download TechDecisions' Blueprint Series report on Security Awareness now!
Blueprint Series: Why Your Security Awareness Program is Probably Falling Short

Learn about the evolution of phishing attacks and best practices for security awareness programs to ensure your organization is properly prepared t...

Workplace Collaboration Tools for Corporate Spaces
Workplace Collaboration Tools for Corporate Spaces

From lobbies and shared spaces to conference rooms and multipurpose facilities, you need high-performing AV technology to effectively share informa...

ChatGPT, generative AI, enterprise, workplace
Blueprint Series: ChatGPT and Generative AI in the Workplace

This latest release of the TechDecisions Blueprint Series explores the new phenomenon of tools such as ChatGPT and how IT leaders should go about d...

View All Downloads

Would you like your latest project featured on TechDecisions as Project of the Week?

Apply Today!
Sharp Microsoft Collaboration HQ Logo

Learn More About the
Windows Collaboration Display

More from Our Sister Publications

Get the latest news about AV integrators and Security installers from our sister publications:

Commercial IntegratorSecurity Sales

AV-iQ

Footer

TechDecisions

  • Home
  • Welcome to TechDecisions
  • Subscribe to the Newsletter
  • Contact Us
  • Advertise with Us
  • Comment Guidelines
  • RSS Feeds
  • Twitter
  • Facebook
  • Linkedin

Free Technology Guides

FREE Downloadable resources from TechDecisions provide timely insight into the issues that IT, A/V, and Security end-users, managers, and decision makers are facing in commercial, corporate, education, institutional, and other vertical markets

View all Guides
TD Project of the Week

Get your latest project featured on TechDecisions Project of the Week. Submit your work once and it will be eligible for all upcoming weeks.

Enter Today!
Emerald Logo
ABOUTCAREERSAUTHORIZED SERVICE PROVIDERSDO NOT SELL MY PERSONAL INFORMATIONTERMS OF USEPRIVACY POLICY

© 2023 Emerald X, LLC. All rights reserved.