Technology | November 19, 2013

iCAD to Demonstrate CT Colonoscopy at RSNA 2013

icad veralook colonoscopy ct systems software mri computer aided RSNA 2013
November 19, 2013 — Computer-aided detection (CAD) vendor iCAD will show its VeraLook solution for virtual colonoscopy (CTC), designed to enhance clinician accuracy and effectiveness by improving detection of colonic polyps, at the Radiological Society of North America Annual Meeting (RSNA 2013). VeraLook will be demonstrated on a Vital Images Vitrea workstation. 
 
VeraLook helps radiologists:
  • Identify colon polyps to aid in the reading process
  • Integrate with specialized CTC reading environments
  • Improve accuracy, productivity and workflow
  • Streamline the reading process and improve consistency
 
MRI image analysis solutions
Invivo Corp now offers iCAD’s MRI product suite for quantification image analysis of the breast, prostate and other organs under the name DynaCAD. Invivo will be showcasing these products at booth 2700 in South Building, Hall A at RSNA 2013.
 

Related Content

Video Plus Brochure Helps Patients Make Lung Cancer Scan Decision

Image courtesy of the American Thoracic Society

News | Lung Cancer | April 19, 2019
A short video describing the potential benefits and risks of low-dose computed tomography (CT) screening for lung...
FDA Clears GE's Deep Learning Image Reconstruction Engine
Technology | Computed Tomography (CT) | April 19, 2019
GE Healthcare has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) of its Deep Learning Image...
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...
Check-Cap Initiates U.S. Pilot Study of C-Scan for Colorectal Cancer Screening
News | Colonoscopy Systems | April 15, 2019
Check-Cap Ltd. has initiated its U.S. pilot study of the C-Scan system for prevention of colorectal cancer through...
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...
Technological Advancements Expected to Drive Virtual Reality Growth in Healthcare
News | Advanced Visualization | April 04, 2019
Increasing demand for innovative diagnostic techniques, neurological disorders and increasing disease awareness are...