DigitalCIO
  • Home
  • Tech News
  • Market Insights
  • CIO Interviews
  • Events and Conferences
  • Opinion and Analysis
  • Resources
No Result
View All Result
DigitalCIO
  • Home
  • Tech News
  • Market Insights
  • CIO Interviews
  • Events and Conferences
  • Opinion and Analysis
  • Resources
No Result
View All Result
Digitalcio
No Result
View All Result
Home Tech News

AI to predict thyroid cancer risk in ultrasound

DigitalCIO Bureau by DigitalCIO Bureau
October 28, 2019
in Tech News
0
74
SHARES
1.2k
VIEWS
Share on FacebookShare on Twitter

Source: IANS

Using Artificial Intelligence (AI) with thyroid ultrasound offers a quick and non-invasive approach to thyroid cancer screening, says a new study.

The study, published in the journal PLOS Pathogens, suggests that automated machine learning shows promise as an additional diagnostic tool that could improve the efficiency of thyroid cancer diagnosis.

“Machine learning is a low-cost and efficient tool that could help physicians arrive at a quicker decision as to how to approach an indeterminate nodule,” said the study’s lead author John Eisenbrey from Thomas Jefferson University in the US.

According to the researchers, at present ultrasounds can tell if a nodule looks suspicious, and then the decision is made whether to do a needle biopsy, but fine-needle biopsies only act as a peephole, they don’t reveal the whole picture.

As a result, some biopsies return inconclusive results as to whether the nodule is malignant, or cancerous in other words.

In order to improve the predictive power of the first-line diagnostic, the ultrasound, researchers looked into machine learning or AI models developed by Google.

They applied a machine learning algorithm to ultrasound images of patients’ thyroid nodules to see if it could pick out distinguishing patterns.

The researchers trained the algorithm on images from 121 patients who underwent ultrasound-guided fine needle-biopsy with subsequent molecular testing.

From 134 total lesions, 43 nodules were classified as high risk and 91 were classified as low risk, based on a panel of genes used in the molecular testing.

A preliminary set of images with known risk classifications was used to train the model or algorithm.

From this bank of labeled images, the algorithm utilised machine learning technology to pick out patterns associated with high and low risk nodules.

It used these patterns to form its own set of internal parameters that could be used to sort future sets of images; it essentially ‘trained’ itself on this new task.

Then the investigators tested the trained model on a different set of unlabeled images to see how closely it could classify high and low genetic risk nodules, compared to molecular tests results.

The researchers found that their algorithm performed with 97 per cent specificity and 90 per cent predictive positive value, meaning that 97 per cent of patients who truly have benign nodules will have their ultrasound read as ‘benign’ by the algorithm, and 90 per cent of malignant or ‘positive’ nodules are truly positive as classified by the algorithm.

The overall accuracy of the algorithm was 77.4 per cent.

Share30Tweet19
DigitalCIO Bureau

DigitalCIO Bureau

Recommended For You

CrowdStrike Acquires Application Security Management Startup Bionic

by DigitalCIO Bureau
September 22, 2023
0
CRISIL To Acquire Bridge To India Energy

CrowdStrike has announced it has agreed to acquire Bionic, the pioneer of Application Security Posture Management (ASPM). The combination will extend CrowdStrike’s leading Cloud Native Application Protection Platform...

Read more

Generative AI Technologies to Execute 60% of Seller Work Within Five Years

by DigitalCIO Bureau
September 22, 2023
0
Generative AI Technologies to Execute 60% of Seller Work  Within Five Years

By 2028, 60% of B2B seller work will be executed through conversational user interfaces via generative AI sales technologies, up from less than 5% in 2023, according to...

Read more

CtrlS Datacenters Appoints Mohit Pande as Chief Financial Officer

by DigitalCIO Bureau
September 22, 2023
0
CtrlS Datacenters Appoints Mohit Pande as Chief Financial Officer

CtrlS Datacenters has announced the appointment of Mohit Pande as its Chief Financial Officer (CFO). The appointment will strengthen the leadership team with Mohit’s 23-year experience in the...

Read more

Black Box Laucnhes Its New Center of Excellence

by DigitalCIO Bureau
September 22, 2023
0
Black Box Laucnhes Its New Center of Excellence

Black Box Limited (formerly AGC Networks Limited)  has announced the inauguration of its new Center of Excellence located in Bengaluru, India. Black Box is one of Essar’s key...

Read more

Attackers Misusing Email Inbox Rules

by DigitalCIO Bureau
September 22, 2023
0
Attackers Misusing Email Inbox Rules

Barracuda has unveiled a new Threat Spotlight, that shows how attackers can misuse inbox rules in a successfully compromised account to evade detection while they – among other things –...

Read more
Next Post

Japan-based NEC Technologies launches new smart cities platform in India

Leave a Reply Cancel reply

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

Related News

US joins G7 artificial intelligence group to counter China

May 29, 2020

India scores low in consumer understanding of AI

July 17, 2019
Ingram Micro’s Chief Digital Officer Sanjib Sahoo Bestowed With Bharat Samman Award In London

Ingram Micro’s Chief Digital Officer Sanjib Sahoo Bestowed With Bharat Samman Award In London

September 13, 2023

Browse by Category

  • Appointment
  • Archive
  • Artificial Intelligence
  • CIO Interviews
  • Cloud
  • Datacenter
  • Events and Conferences
  • Market Insights
  • News
  • Opinion and Analysis
  • Resources
  • Security
  • Storage
  • Tech News
Digitalcio

Welcome to DigitalCIO, your ultimate source for staying ahead in the ever-evolving world of technology and business.

CATEGORIES

  • Tech News
  • Market Insights
  • CIO Interviews
  • Events and Conferences
  • Opinion and Analysis
  • Resources
  • Archive

BROWSE BY TAG

Acquisition AI AIOps Appointment artificial intelligence Artificial Intelligence and Machine Learning Big Data and Analytics Blockchain CISCO Cloud Computing Cloudflare CommScope CrowdStrike Customer Experience Cybersecurity Deloitte Digital Transformation E-books ESG Everest Group Gartner Generative AI IDC Infographics Infosys Internet of Things (IoT) Nessus Expert Netskope New Relic Nextiva o9 Solutions Oracle Panel Discussion Public cloud ransomware Redington Limited Salesforce software Sophos Sustainability Tenable Veeam Software Webinars WeWork India Whitepaper

NAVIGATION

  • Home
  • About Us
  • Advertise with Us
  • Contact Us

© 2023 digitalcio.in - All rights reserved.

No Result
View All Result
  • Home
  • Tech News
  • Market Insights
  • CIO Interviews
  • Events and Conferences
  • Opinion and Analysis
  • Resources

© 2023 digitalcio.in - All rights reserved.

Are you sure want to unlock this post?
Unlock left : 0
Are you sure want to cancel subscription?