Parascript Offers Greater Accuracy in Detecting Breast Cancer

ParascriptParascript, LLC, an image analysis and pattern recognition technology provider, announced that its AccuDetect® Galileo computer-aided detection software for digital mammography showed better overall performance in detecting breast cancer in a recent retrospective study against iCad's SecondLook. Findings from the study, performed at Maastricht University Medical Center departments of Radiology and Surgery in the Netherlands, with collaboration from University of Udine's Institute of Diagnostic Radiology in Italy, were presented at the annual meeting of the European Society of Radiology, ECR, on March 3.

In the study, digital mammograms of 326 patients were analyzed (117 patients with biopsy proven breast cancer, 209 negative cases) using AccuDetect Galileo 4.0 and SecondLook version 7.2. AccuDetect Galileo significantly increased true positive fraction (TPF) of cancer cases when compared to SecondLook. It demonstrated a per image increase of 6.9% to 72.2%; per case increase of 4.3% to 84.6%. The University of Maastricht team noted that AccuDetect Galileo had a significant performance improvement in detecting soft tissue densities on extremely dense breasts (BI-RADS breast density class 4) over SecondLook, increasing TPF by15.4% to 69.2%. Dense breast tissue can obscure an underlying cancer, or conversely mimic one that does not exist, thus making accurate detection difficult.

"We are encouraged by the results of this new study," said Yuri Prizemin, director of business development for medical imaging for Parascript. "We believe that Parascript CAD advancements in marking malignant lesions on extremely dense breasts will help radiologists to improve breast cancer detection."

Full findings from the study were presented by the study authors M. Lobbes, K. Keymeulen, M. Smidt, R.G. Beets-Tan, J.E. Wildberger, and C. Boetes from Maastricht University and R. Girometti and C. Zuiani from University of Udine in Retrospective Comparison of the Accuracy of Two Different Computer-aided Detection Systems for Detecting Malignant Lesions on Mammography.

About Parascript, LLC
The Parascript image analysis suite extracts meaningful information from images. Employing patented digital image analysis and pattern recognition technologies, the Parascript image analysis suite improves decision quality in medical imaging, postal and payment automation, fraud detection and forms processing operations. Parascript software processes billions of documents per year. Fortune 500 companies, postal operators, major government and financial institutions rely on Parascript products. Organizations include the U.S. Postal Service, Bell + Howell, Fiserv, Elsag, Lockheed Martin, NCR, Siemens and Burroughs.

Most Popular Now

Researchers Invent AI Model to Design Ne…

Researchers at McMaster University and Stanford University have invented a new generative artificial intelligence (AI) model which can design billions of new antibiotic molecules that are inexpensive and easy to...

Two Artificial Intelligences Talk to Eac…

Performing a new task based solely on verbal or written instructions, and then describing it to others so that they can reproduce it, is a cornerstone of human communication that...

Powerful New AI can Predict People'…

A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19. The predictive system uses a small set of data from demographics...

AI-Based App can Help Physicians Find Sk…

A mobile app that uses artificial intelligence, AI, to analyse images of suspected skin lesions can diagnose melanoma with very high precision. This is shown in a study led from...

Greater Manchester Reaches New Milestone…

Radiologists and radiographers at Northern Care Alliance NHS Foundation Trust have become the first in Greater Manchester to use the Sectra picture archiving and communication system (PACS) to report on...

Alcidion and Novari Health Forge Strateg…

Alcidion Group Limited, a leading provider of FHIR-native patient flow solutions for healthcare, and Novari Health, a market leader in waitlist management and referral management technologies, have joined forces to...

Researchers Develop Deep Learning Model …

Researchers have developed a new, interpretable artificial intelligence (AI) model to predict 5-year breast cancer risk from mammograms, according to a new study published today in Radiology, a journal of...

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Wanted: Young Talents. DMEA Sparks Bring…

9 - 11 April 2024, Berlin, Germany. The digital health industry urgently needs skilled workers, which is why DMEA sparks focuses on careers, jobs and supporting young people. Against the backdrop of...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...