Skip to main content

Site navigation

  • University of Technology Sydney home
  • Home

    Home
  • For students

  • For industry

  • Research

Explore

  • Courses
  • Events
  • News
  • Stories
  • People

For you

  • Libraryarrow_right_alt
  • Staffarrow_right_alt
  • Alumniarrow_right_alt
  • Current studentsarrow_right_alt
  • Study at UTS

    • arrow_right_alt Find a course
    • arrow_right_alt Course areas
    • arrow_right_alt Undergraduate students
    • arrow_right_alt Postgraduate students
    • arrow_right_alt Research Masters and PhD
    • arrow_right_alt Online study and short courses
  • Student information

    • arrow_right_alt Current students
    • arrow_right_alt New UTS students
    • arrow_right_alt Graduates (Alumni)
    • arrow_right_alt High school students
    • arrow_right_alt Indigenous students
    • arrow_right_alt International students
  • Admissions

    • arrow_right_alt How to apply
    • arrow_right_alt Entry pathways
    • arrow_right_alt Eligibility
arrow_right_altVisit our hub for students

For you

  • Libraryarrow_right_alt
  • Staffarrow_right_alt
  • Alumniarrow_right_alt
  • Current studentsarrow_right_alt

POPULAR LINKS

  • Apply for a coursearrow_right_alt
  • Current studentsarrow_right_alt
  • Scholarshipsarrow_right_alt
  • Featured industries

    • arrow_right_alt Agriculture and food
    • arrow_right_alt Defence and space
    • arrow_right_alt Energy and transport
    • arrow_right_alt Government and policy
    • arrow_right_alt Health and medical
    • arrow_right_alt Corporate training
  • Explore

    • arrow_right_alt Tech Central
    • arrow_right_alt Case studies
    • arrow_right_alt Research
arrow_right_altVisit our hub for industry

For you

  • Libraryarrow_right_alt
  • Staffarrow_right_alt
  • Alumniarrow_right_alt
  • Current studentsarrow_right_alt

POPULAR LINKS

  • Find a UTS expertarrow_right_alt
  • Partner with usarrow_right_alt
  • Explore

    • arrow_right_alt Explore our research
    • arrow_right_alt Research centres and institutes
    • arrow_right_alt Graduate research
    • arrow_right_alt Research partnerships
arrow_right_altVisit our hub for research

For you

  • Libraryarrow_right_alt
  • Staffarrow_right_alt
  • Alumniarrow_right_alt
  • Current studentsarrow_right_alt

POPULAR LINKS

  • Find a UTS expertarrow_right_alt
  • Research centres and institutesarrow_right_alt
  • University of Technology Sydney home
Explore the University of Technology Sydney
Category Filters:
University of Technology Sydney home University of Technology Sydney home
  1. home
  2. arrow_forward_ios ... Newsroom
  3. arrow_forward_ios ... 2024
  4. arrow_forward_ios 01
  5. arrow_forward_ios Revolutionary AI detects COVID-19 quickly and accurately

Revolutionary AI detects COVID-19 quickly and accurately

9 January 2024

The new AI system swiftly and accurately distinguishes COVID-19 cases, normal cases, and pneumonia in X-ray images.

A doctor examines a lung xray in a hologram setting surrounded by images of data.

The new AI system uses a deep learning-based algorithm that is able to quickly and accurately distinguish between COVID-19 cases, normal cases, and pneumonia in X-ray images. Photo credit PeopleImages via iStock.

A revolutionary Artificial Intelligence (AI) system has been developed by researchers, capable of swiftly and accurately detecting COVID-19 from chest X-rays with an accuracy exceeding 98%. Recently published in Nature Scientific Reports, the study, spearheaded by Professor Amir H Gandomi from the Data Science Institute at UTS, addresses the critical need for automated tools in combating the global impact of COVID-19 on public health and the economy. 

Traditional COVID-19 testing methods, such as real-time polymerase chain reaction (PCR), can be slow, expensive, and prone to false negatives. To confirm diagnoses, manual examinations of CT scans or X-rays by radiologists are often required, introducing time-consuming processes vulnerable to errors. The new AI system, employing a deep learning-based algorithm called Custom Convolutional Neural Network (Custom-CNN), stands out by swiftly and accurately distinguishing COVID-19 cases, normal cases, and pneumonia in X-ray images. 

The new AI system could be particularly beneficial in countries experiencing high levels of COVID-19 where there is a shortage of radiologists. Chest X-rays are portable, widely available and provide lower exposure to ionizing radiation than CT scans

Professor Gandomi 

By offering an end-to-end solution through deep learning, the Custom-CNN model eliminates the manual search for biomarkers, streamlining the detection process and facilitating a quicker and more precise COVID-19 diagnosis. In situations where PCR or rapid antigen tests yield inconclusive results, the AI system could play a crucial role in further examinations through radiological imaging. 

The breakthrough, by the AI assist, holds promise for ensuring prompt and accurate diagnoses of COVID-19, enabling timely treatment, isolation, and contact tracing to mitigate the spread of the virus.  

Share
Share this on Facebook Share this on Twitter Share this on LinkedIn
Back to News in UTS Engineering and Information Technology

Related News

  • Brain wave social
    Mind to text breakthrough for people who are unable to speak
  • Dr Jiao Jiao Li social
    Biomedical engineer’s innovation may cure Osteoarthritis
  • Sound for sight social
    Sight through sound for the blind

Acknowledgement of Country

UTS acknowledges the Gadigal People of the Eora Nation and the Boorooberongal People of the Dharug Nation upon whose ancestral lands our campuses now stand. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands. 

University of Technology Sydney

City Campus

15 Broadway, Ultimo, NSW 2007

Get in touch with UTS

Follow us

  • Instagram
  • LinkedIn
  • YouTube
  • Facebook

A member of

  • Australian Technology Network
Use arrow keys to navigate within each column of links. Press Tab to move between columns.

Study

  • Find a course
  • Undergraduate
  • Postgraduate
  • How to apply
  • Scholarships and prizes
  • International students
  • Campus maps
  • Accommodation

Engage

  • Find an expert
  • Industry
  • News
  • Events
  • Experience UTS
  • Research
  • Stories
  • Alumni

About

  • Who we are
  • Faculties
  • Learning and teaching
  • Sustainability
  • Initiatives
  • Equity, diversity and inclusion
  • Campus and locations
  • Awards and rankings
  • UTS governance

Staff and students

  • Current students
  • Help and support
  • Library
  • Policies
  • StaffConnect
  • Working at UTS
  • UTS Handbook
  • Contact us
  • Copyright © 2025
  • ABN: 77 257 686 961
  • CRICOS provider number: 00099F
  • TEQSA provider number: PRV12060
  • TEQSA category: Australian University
  • Privacy
  • Copyright
  • Disclaimer
  • Accessibility