News | March 02, 2008

CAD-Based Breast Cancer Detection Prototype to be Unveiled at ECR 2008

March 3, 2008 - im3D Medical Imaging Lab will present the CAD-Breast MRI, a diagnostic and theranostic prototype that applies CAD precision and accuracy to DCE-MRI results to better prevent and detect breast cancer, at ECR 2008, March 7-11 in Vienna, Austria.
CAD-Breast MRI is designed to improve the specificity of DCE-MRI, and automatically calculates and processes the diagnostic parameters used to identify and diagnose potential tumors in an objective. This system may be able to help reduce the number of biopsies performed by accurately detecting and precisely quantifying the malignancy (or not) of identified lesions.

Also on showcase is the CAD-Colon diagnostic workstation featuring enhanced PACS-compatible reporting capabilities. Users can choose to save the individual patient diagnostic report as a PDF file, a single DICOM image file or as sequential DICOM image files, one image per page. CAD-Colon automatically detects suspect areas within a 3-D model of the patient’s colon, aiming to help the radiologist increase his diagnostic accuracy and reduce the overall reading time.

For more information: www.i-m3d.com

Related Content

Artificial Intelligence Performs As Well As Experienced Radiologists in Detecting Prostate Cancer
News | Artificial Intelligence | April 18, 2019
University of California Los Angeles (UCLA) researchers have developed a new artificial intelligence (AI) system to...
Oxipit Introduces Multilingual Support for ChestEye AI Imaging Suite
News | Artificial Intelligence | April 16, 2019
The CE-certified ChestEye artificial intelligence (AI) imaging suite by Oxipit is now available in seven European...
iCAD Appoints Stacey Stevens as President
News | Radiology Business | April 16, 2019
iCAD Inc. recently announced that Stacey Stevens has been named president. As president, Stevens will have expanded...
A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images

A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images. The algorithm, described at the SBI/ACR Breast Imaging Symposium, used “Deep Learning,“ a form of machine learning, which is a type of artificial intelligence. Graphic courtesy of Sarah Eskreis-Winkler, M.D.

Feature | Artificial Intelligence | April 12, 2019 | By Greg Freiherr
The use of smart algorithms has the potential to make healthcare more efficient.
Enlitic Closes Series B Funding for Artificial Intelligence Solutions for Radiologists
News | Artificial Intelligence | April 08, 2019
Radiology artificial intelligence (AI) company Enlitic announced the close of its $15 million Series B financing round...
iCAD Highlighting ProFound AI for Tomosynthesis at 2019 SBI Annual Symposium
News | Computer-Aided Detection Software | April 04, 2019
iCAD announced it will present its latest artificial intelligence (AI) software solution for digital breast...
A smart algorithm developed by iCAD

A smart algorithm developed by iCAD outlines and scores a suspicious lesion seen in an image created using digital breast tomography. Displayed is the probability calculated by the algorithm that the outlined area includes a cancerous lesion. Image courtesy of Emily Conant, M.D.

Feature | Artificial Intelligence | April 03, 2019 | Greg Freiherr
  Editor's Note: This article was updated following the SBI symposium.  
Videos | RSNA | April 03, 2019
ITN Editor Dave Fornell takes a tour of some of the most interesting new medical imaging technologies displa