Parascript Announces New Version, Implementations of AccuDetect Computer-Aided Detection for Digital Mammography

ParascriptParascript, LLC, the image analysis and pattern recognition technology provider, today announced the latest version of its computer-aided detection (CAD) technology for mammography. AccuDetect 6.1 offers radiologists continued improvements in sensitivity and specificity in detecting suspicious lesions on mammograms.

Parascript® AccuDetect® is intended for use in screening mammography to identify suspicious areas for breast cancer. The technology can help to prompt closer examination of a potential lesion that a radiologist may have overlooked in an initial read. Digital mammography images are automatically analyzed to identify suspicious areas for possible soft tissue densities and/or calcifications and enable a more accurate interpretation of mammograms.

AccuDetect 6.1 uses proprietary pattern recognition and image processing technology to detect the presence of suspicious lesions on mammogram images and is even more robust, with significantly higher performance compared to the previous version. The result is a state-of-the-art CAD product with high sensitivity and low false-positive rates.

It is available in Europe to digital mammography equipment vendors to integrate with DR (direct radiography) and CR (computer radiography) systems.

"At Parascipt, we are very optimistic about the advances that have been made in AccuDetect 6.1. We remain tireless in our commitment to further our technology and are extremely excited about being able to help in the fight against breast cancer," said Yuri Prizemin, director of business development for medical imaging for Parascript.

AccuDetect 6.1 has been installed in France, Germany and Sweden on CR and DR systems.

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. Parascript is online at http://www.parascript.com.

Most Popular Now

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...