VuCOMP builds installed base

AuntMinnie.com staff writers
May 6, 2014

Computer-aided detection (CAD) developer VuCOMP has installed its M-Vu CAD and M-Vu Breast Density software at Battlefield Imaging in Ringgold, GA.

The imaging center will use M-Vu CAD with a Siemens Healthcare Mammomat Inspiration digital mammography system, according to VuCOMP

Latest in Artificial Intelligence
Chatgpt 4
ChatGPT performs poorly on ACR exam for residents
April 24, 2024
Ultrasound Scanner Ultraviolet 400
Deep-learning algorithm improves liver fibrosis diagnosis
April 23, 2024
Chat Gpt Artificial Intelligence Ai Head
NLP uncovers racial bias in documenting ob/gyn imaging findings
April 23, 2024
Stroke Skull Xray 400
Can ChatGPT ‘data mine’ patient reports for stroke registries?
April 19, 2024
Related Stories
2013 08 09 16 12 44 827 Siegel Eliot 200
Artificial Intelligence
Efficiency, personalized medicine will drive CAD forward
2012 09 19 11 01 18 757 Eye Tracking Heatmap Thumb
Artificial Intelligence
CAD may lead to incomplete searching of images
2009 07 28 13 33 39 581 Fda Logo 70
Artificial Intelligence
FDA releases final guidance documents on CAD
2009 01 15 16 03 49 510 Med Phys Web Logo 100
Artificial Intelligence
Quality assurance is essential for CAD to thrive
More in Artificial Intelligence
ChatGPT performs poorly on ACR exam for residents
By Will Morton
ChatGPT-4 received a score of 58% on an exam by the American College of Radiology (ACR) used to assess the skills of diagnostic and interventional radiology residents.
April 24, 2024
Chatgpt 4
Deep-learning algorithm improves liver fibrosis diagnosis
By Amerigo Allegretto
An algorithm combining the Fibrosis-4 Index and an ultrasound deep-learning model could improve diagnostic accuracy for advanced liver fibrosis.
April 23, 2024
Ultrasound Scanner Ultraviolet 400
NLP uncovers racial bias in documenting ob/gyn imaging findings
By Amerigo Allegretto
Natural language processing (NLP), a form of AI, can uncover racial bias in documenting radiology-confirmed ob/gyn findings.
April 23, 2024
Chat Gpt Artificial Intelligence Ai Head
Can ChatGPT ‘data mine’ patient reports for stroke registries?
By Will Morton
ChatGPT-4 appears useful for extracting details from reports on thrombectomy procedures in stroke patients, a labor-intensive and error-prone task currently performed by human readers.
April 19, 2024
Stroke Skull Xray 400
Blackford and Lucida Medical partner on prostate cancer imaging
By AuntMinnie.com staff writers
Blackford has entered a commercial partnership with Lucida Medical to integrate Lucida's prostate cancer MRI imaging software (Pi) into its AI platform.
April 17, 2024
Ai Handshake
CT-based deep learning identifies patients at further lung cancer risk
By Kate Madden Yee
A CT-based deep learning model can identify individuals with clinical stage IA non-small cell lung cancer (NSCLC) at high risk of further disease, researchers have found.
April 16, 2024
Ai
Deep-learning model determines breast tumor staging
By Amerigo Allegretto
A deep-learning model based on mammographic images can determine tumor staging and sentinel lymph node metastasis in breast cancer patients.
April 16, 2024
Researchers explain the data preparation and structure of a proposed CNN-based deep learning model using mammography features to determine breast tumor staging. The image is available for use under a Creative Commons license: CC BY-NC-ND 4.0 DEED Attribution-NonCommercial-NoDerivs 4.0 International.
16 Bit gets FDA nod for AI x-ray software
By AuntMinnie.com staff writers
Canadian AI software developer 16 Bit has received de novo approval from the U.S. Food and Drug Administration (FDA) for Rho, an AI tool for evaluating low bone mineral density.
April 12, 2024
Bmd
Vision transformer AI model boosts PET/CT imaging of cancer
By Will Morton
A vision transformer AI model outperformed convolutional neural networks when classifying tumors on PET/CT images as benign or malignant.
April 12, 2024
Predictions and Grad-CAMs of ViT-based models on sample PET/CT, PET, and CT test images from the “positive” class. ViT was fine-tuned using training data for each modality. The bounding boxes depicted in the figure indicate malignant lesions. The top row of the Grad-CAMs shows important areas for “positive” predictions, and the bottom row shows areas for “negative” predictions. Image courtesy of Scientific Reports.
UltraCon: Machine learning predicts sonographer burnout
By Amerigo Allegretto
Machine-learning approaches can predict burnout among sonographers, though established burnout indices may be enough, according to research presented April 9 at UltraCon.
April 9, 2024
Jennifer Bagley from the University of Oklahoma presents findings at UltraCon on the performance of two machine learning approaches in predicting burnout among sonographers.
AI helps select patients for supplemental breast cancer screening
By Erik L. Ridley
An AI-based method can outperform breast density measurements for flagging patients who would benefit from supplemental breast cancer screening.
April 9, 2024
Breast Cancer 3 D
AI model predicts invasiveness of lung cancer on CT scans
By Will Morton
Radiologists in Beijing, China, have developed a joint deep-learning and radiomics AI model that can flag how invasive tumors may be in patients with lung cancer.
April 9, 2024
Lung Ai
Page 1 of 365
Next Page