Mental DailyMental Daily
  • Clinical
  • Health
  • I/O
  • Cybernetic
  • Social
  • More
    • Opinion
    • My Bookmarks
Aa
Mental Daily
Aa
  • Clinical
  • Health
  • I/O
  • Cybernetic
  • Social
  • Opinion
Search
  • Clinical
  • Health
  • I/O
  • Cybernetic
  • Social
  • More
    • Opinion
    • My Bookmarks
Follow US
  • Twitter
  • Facebook
  • Instagram
  • Inc. Profile
  • Google Play Store
© 2022 - Mental Daily. All Rights Reserved.
Cyber

How the use of deep learning algorithms may lead to more accurate HIV diagnoses

Staff Writer
Staff Writer 2 years ago
Updated 2021/10/27 at 12:54 PM
Share
SHARE

A group of researchers at the University College London and Africa Health Research Institute have constructed an application using artificial intelligence, capable of improving diagnoses of HIV among people with low socioeconomic status.

First released in the journal Nature Medicine, researchers used deep learning algorithms, a form of artificial intelligence, to build more robust diagnoses of HIV-based tests for South African populants.

“Although deep learning algorithms show increasing promise for disease diagnosis, their use with rapid diagnostic tests performed in the field has not been extensively tested. Here we use deep learning to classify images of rapid human immunodeficiency virus (HIV) tests acquired in rural South Africa,” Valérian Turbé and fellow research colleagues wrote in their findings.

“Using newly developed image capture protocols with the Samsung SM-P585 tablet, 60 fieldworkers routinely collected images of HIV lateral flow tests.”

A thorough examination of the HIV-based tests using the algorithms yielded a reduction in false positives and false negatives. The findings lay the groundwork for the potential release of a sophisticated AI-fueled app capable of providing more accurate diagnoses of HIV, particularly among populants of less-developed nations.

“Our findings lay the foundations for a new paradigm of deep learning–enabled diagnostics in low- and middle-income countries, termed REASSURED diagnostics1, an acronym for real-time connectivity, ease of specimen collection, affordable, sensitive, specific, user-friendly, rapid, equipment-free and deliverable,” the authors stated in their journal report.

“Such diagnostics have the potential to provide a platform for workforce training, quality assurance, decision support and mobile connectivity to inform disease control strategies, strengthen healthcare system efficiency and improve patient outcomes and outbreak management in emerging infections.”

You Might Also Like

Study claims the more people think God, the more likely they trust AI decision-making

Study finds Facebook use not linked to negative well-being

A team of researchers explore the human side of cybersecurity

The effects of bodily rhythm on behavior were investigated during smartphone study

Research explores the simple ways that can make healthy food options more appealing online

TAGGED: epidemiology, tech, virology, HIV
Staff Writer June 18, 2021
Share this Article
Facebook Twitter Whatsapp Whatsapp Email Print
Previous Article Fast-food companies are spending billions on ads, targeting Black and Hispanic youth
Next Article Preterm births associated with a heightened risk of stroke later in life

Recommended

Cyber

Study claims the more people think God, the more likely they trust AI decision-making

2 Min Read
Cyber

Study finds Facebook use not linked to negative well-being

2 Min Read
Cyber

A team of researchers explore the human side of cybersecurity

3 Min Read
Cyber

The effects of bodily rhythm on behavior were investigated during smartphone study

1 Min Read
//

We are a trusted online source for research news and resources on all aspects of the mind and human behavior.

Verticals

  • Clinical
  • Health
  • Social
  • I/O
  • Opinion

Social

  • Twitter
  • Facebook
  • Instagram
  • Inc. Profile
  • Google Play Store

Links

  • About
  • Contact
  • The Editor
  • Terms & Conditions
  • Privacy Policy
Follow US

© 2022 Mental Daily. All Rights Reserved.

  • Twitter
  • Facebook
  • Instagram
  • Inc. Profile
  • Google Play Store

Removed from reading list

Undo
Welcome Back!

Sign in to your account

Lost your password?