StarAvisStarAvisStarAvis
  • Home
  • News
  • Business
  • Literature
  • Science

Archives

  • November 2023
  • October 2023
  • September 2023
  • August 2023
  • July 2023
  • June 2023
  • May 2023
  • April 2023
  • March 2023
  • February 2023
  • January 2023
  • December 2022
  • November 2022
  • October 2022
  • September 2022
  • August 2022
  • July 2022
  • June 2022
  • May 2022
  • April 2022
  • February 2022
  • January 2022
  • December 2021
  • September 2021
  • July 2021
  • June 2021

Categories

  • Articles
  • Artificial intelligence
  • Arts & Design
  • Biography
  • Books
  • Business
  • Celebrities
  • Economy
  • Editorial
  • Entertainment
  • Entrepreneurship
  • Environment
  • Europe News
  • Fact check
  • Food
  • Geography
  • Health
  • Health Care
  • History
  • Internet
  • Lifestyle
  • Literature
  • Medication
  • Mental Health
  • Movies
  • News
  • Opinion
  • Personal Finance
  • Podcast
  • Poetry
  • Politics
  • Science
  • SEO
  • Smartphone
  • Software
  • Sports
  • Technology
  • Top 10
  • Travel
  • TV
  • U.K News
  • U.S. News
  • World News
Reading: Cancer can be precisely diagnosed by advanced AI tool
Share
Notification Show More
Font ResizerAa
StarAvisStarAvis
Font ResizerAa
  • World
  • Travel
  • Opinion
  • Science
  • Technology
  • Fashion
  • Home
    • Home 1
    • Home 2
    • Home 3
    • Home 4
    • Home 5
  • Categories
    • Technology
    • Opinion
    • Travel
    • Fashion
    • World
    • Science
    • Health
  • Bookmarks
  • More Foxiz
    • Sitemap
Have an existing account? Sign In
Follow US
© 2022 Foxiz News Network. Ruby Design Company. All Rights Reserved.
StarAvis > Latest > News > Cancer can be precisely diagnosed by advanced AI tool
NewsHealth

Cancer can be precisely diagnosed by advanced AI tool

StarAvis Desk
Last updated: 2023/04/30 at 10:55 PM
StarAvis Desk Published April 30, 2023
Share
5 Min Read
Doctors and scientists have developed a new artificial intelligence tool that can accurately identify cancer, potentially speeding up the diagnosis of the disease.
Doctors and scientists have developed a new artificial intelligence tool that can accurately identify cancer, potentially speeding up the diagnosis of the disease.
SHARE

As per a study, the algorithm performs with higher efficiency and effectiveness compared to the existing methods.

A team of doctors, scientists, and researchers have collaborated to develop an AI model that can precisely detect cancer, potentially accelerating the diagnosis and treatment of the disease.

With nearly 10 million deaths each year, cancer is a major cause of mortality across the globe, accounting for nearly one in six deaths, as reported by the World Health Organization. Nonetheless, timely detection and prompt treatment can cure the disease in many cases.

The algorithm, designed by professionals from Imperial College London, the Institute of Cancer Research, London, and the Royal Marsden NHS Foundation Trust, can accurately distinguish cancerous growths from non-cancerous ones spotted on CT scans.

- Advertisement -

A study published in the Lancet’s eBioMedicine journal has revealed that an algorithm performs with higher efficiency and effectiveness than current methods for detecting cancer. The algorithm was developed by experts from the Royal Marsden NHS foundation trust, Imperial College London, and the Institute of Cancer Research, London.

The images depict a 44-year-old man who experienced chest pain and dyspnea. In the first image (A), a chest X-ray displays subtle nodular opacities primarily in the lower lobes, indicating pneumonia, and a discreet silhouette sign of the right cardiac border (arrow). However, the AI system interpreted the X-ray as normal, as did the clinical radiology report. The second image (B) shows a CT scan revealing lower lobe airspace opacities with a vague tree-in-bud morphology (box) and a consolidation area (arrow). Although pulmonary angiography was performed five hours after the X-ray, the AI tool mistakenly classified this as a false-negative "critical" finding.
The images depict a 44-year-old man who experienced chest pain and dyspnea. In the first image (A), a chest X-ray displays subtle nodular opacities primarily in the lower lobes, indicating pneumonia, and a discreet silhouette sign of the right cardiac border (arrow). However, the AI system interpreted the X-ray as normal, as did the clinical radiology report. The second image (B) shows a CT scan revealing lower lobe airspace opacities with a vague tree-in-bud morphology (box) and a consolidation area (arrow). Although pulmonary angiography was performed five hours after the X-ray, the AI tool mistakenly classified this as a false-negative “critical” finding.

Dr Benjamin Hunter, a clinical oncology registrar at the Royal Marsden and a clinical research fellow at Imperial, stated that the algorithm could improve early detection and potentially make cancer treatment more successful by highlighting high-risk patients and fast-tracking them to earlier intervention.

The team used radiomics to extract essential information from CT scans of around 500 patients with large lung nodules and develop an AI algorithm. The model was then tested to identify if it could accurately distinguish cancerous nodules. The study used the area under the curve (AUC) measure to determine the effectiveness of the model at predicting cancer. The results showed that the AI model could identify the risk of cancer in each nodule with an AUC of 0.87, outperforming the Brock score, a current clinic test, which scored 0.67.

Clinical metrics and reliability testing and validation for the tool have been completed.
Clinical metrics and reliability testing and validation for the tool have been completed. Photo: Shameer Pk / Pixabay.

The next step is to test the technology on patients with large lung nodules in clinic to see if it can accurately predict their risk of lung cancer. The AI model may also assist physicians to reach more timely choices regarding patients with abnormal growths classified as medium-risk.

The researchers, supported by the Royal Marsden Cancer Charity, the National Institute for Health and Care Research, RM Partners, and Cancer Research UK, stress that more testing must be done before the model can be implemented in healthcare systems. The Libra study is still in its early stages.

Richard Lee, the study’s chief investigator, explained that lung cancer is the leading cause of cancer mortality globally, causing one-fifth of cancer deaths in the United Kingdom. Early detection allows for more successful treatment, yet current data suggest that more than 60% of lung cancer cases in England are detected at stage three or four. Lee stated that people diagnosed with lung cancer at the earliest stage are much more likely to survive for five years compared with those whose cancer is caught late. The development of the radiomics model specifically focused on large lung nodules could one day support clinicians in identifying high-risk patients.

SOURCE: THE GUARDIAN AND NEWS AGENCIES

Follow us on Google News

You Might Also Like

Pandemic’s lasting impact on brain health in adults aged 50 and over

10 Sources of Wisdom: Nurturing the Path to a Fulfilling Life

Prevalence of Racial discrimination casts a shadow over Australian Voice Referendum Campaign ahead of vote

NATO Chief Warns of Prolonged Conflict in Ukraine

Iranian Protests Mark the First Anniversary of Mahsa Amini’s Death

Share This Article
Twitter Email Copy Link Print
Share
Previous Article Celebrating International Workers' Day: Unleashing the Power of Workers' Rights labor day, international worker's day, banner Celebrating International Workers’ Day: Assault Revolutionizing Labor Rights
Next Article Pope Francis bids farewell to Hungary's President Katalin Novak at Budapest International Airport on April 30 after his second visit to Hungary in less than two years. Hungary should welcome migrants – Pope Francis
Leave a comment

Leave a Reply Cancel reply

You must be logged in to post a comment.

You Might Also Like

Health

Pandemic’s lasting impact on brain health in adults aged 50 and over

Study in the United Kingdom reveals cognitive decline and working memory deterioration in older adults, regardless of virus infection. The…

6 Min Read
Wisdom Woman Holding Fireflies
Mental Health

10 Sources of Wisdom: Nurturing the Path to a Fulfilling Life

Wisdom is a remarkable human strength that benefits the individual and contributes to the well-being and growth of society as…

5 Min Read
Growing concerns about the impact of racist discourse on Indigenous Australians amidst the voice debate.
Politics

Prevalence of Racial discrimination casts a shadow over Australian Voice Referendum Campaign ahead of vote

Lead-up to landmark October 14th vote reveals deep schisms in society and indigenous cohesion In the lead-up to a significant…

12 Min Read
NATO Chief Warns of Prolonged Conflict in Ukraine
News

NATO Chief Warns of Prolonged Conflict in Ukraine

NATO Secretary General Jens Stoltenberg issued a cautionary message, emphasizing that the war in Ukraine may endure for an extended…

4 Min Read
StarAvis StarAvis White

News

  • World
  • Advertise

Technology

  • Innovate
  • Gadget
  • PC hardware
  • Review
  • Software

Health

  • Medicine
  • Children
  • Coronavirus
  • Nutrition
  • Disease

Culture

  • Stars
  • Screen
  • Culture
  • Media
  • Videos

More

  • Fashion
  • Travel
  • Opinion
  • Science
  • Health

Subscribe

  • Google News
  • Digital Subscription
  • Games
  • Cooking
Copyright 2011-2023 © StarAvis Network. All Rights Reserved.
 

Loading Comments...
 

You must be logged in to post a comment.

    Welcome Back!

    Sign in to your account

    Lost your password?