AI: Page 114

Vendor Profile: Rising star focuses on CAD and visualization
By Frances Rylands-Monk
Dr. Olga Kubassova, an example of a new breed of global medical imaging entrepreneur, is thriving as a result of the host of opportunities in healthcare IT. She founded the company Image Analysis, which specializes in developing tools for computer-aided analysis of complex medical datasets.
May 25, 2011
2011 05 25 12 24 58 889 2011 05 26 Ad Viz Thumb
CAD can boost detection of pulmonary embolism by junior staff
By Philip Ward
Computer-aided detection (CAD) can significantly improve the sensitivity of pulmonary embolism (PE) detection among inexperienced readers, and despite a slight increase in the number of false positives, the added value of CAD is particularly evident on a patient-based analysis.
May 9, 2011
Researchers tackle false-positive challenge of CAD
By Erik L. Ridley
Mammography computer-aided detection (CAD) software can help detect more cancers, albeit at the cost of numerous false-positive findings. But new approaches may allow radiologists to more effectively use CAD, according to a pair of presentations at the recent ECR in Vienna.
May 4, 2011
CAD can prevent unnecessary biopsies of benign breast lesions
By Erik L. Ridley
Computer-aided detection (CAD) can reduce the number of stereotactic breast biopsies of suspicious microcalcification clusters that are eventually shown to be benign, according to a German research team.
April 12, 2011
Rads' interpretation remains 'essential' even with breast MRI CAD
By Rebekah Moan
Pairing computer-aided detection (CAD) with breast MRI has little effect on the sensitivity and specificity for experienced radiologists, according to a study in European Radiology. However, residents or inexperienced radiologists may benefit from the combination.
April 11, 2011
2011 04 12 09 50 40 728 2011 04 12 Breast Mri Cad Thumb
Breast MRI benefits from CAD for distant metastasis
By Wayne Forrest
Semiautomatic analysis of breast MRI using computer-aided detection (CAD) can provide quantitative data to predict the occurrence of distant metastasis in primary breast cancer, according to a study presented at the 2011 European Congress of Radiology in Vienna.
March 13, 2011
Moving image data beyond radiology promises to transform working practices
By Philip Ward
Better and faster imaging techniques enable more accurate diagnoses with less risk. They also mean a change from static to dynamic information, requiring new expertise from radiologists, according to a refresher course Monday at the European Congress of Radiology.
March 6, 2011
2011 03 06 22 38 26 673 2011 03 07 Sharing Caramella 2
Computer assistance for image-based diagnosis and therapy
By Guido Prause, PhD
Attendees at this year's European Congress of Radiology were offered a preview of novel developments in image-based computer assistance for diagnosis and therapy during the Imagine Workshop. The high-tech workshop included new developments from Germany's Fraunhofer MEVIS.
March 6, 2011
2011 03 06 21 27 17 159 2011 03 07 Mevis Thumb
Medipattern, TomTec finalize agreement
By AuntMinnieEurope.com staff writers
Computer-aided detection (CAD) firm Medipattern and TomTec Imaging Systems have signed an agreement in which Medipattern's B-CAD breast ultrasound imaging product will be integrated into TomTec's Image-Arena platform suite.
March 2, 2011
iCAD rolls out SecondLook Premier software
By AuntMinnieEurope.com staff writers
Computer-aided detection firm iCAD has introduced its SecondLook Premier CAD offering for digital mammography systems in the European and Canadian markets.
February 16, 2011
CAD may drive chest DR screening for tuberculosis
By Erik L. Ridley
A prototype computer-aided detection (CAD) algorithm for tuberculosis (TB) developed by Dutch researchers performed well in a pilot study, offering hope that the software could enable the use of chest digital radiography (DR) to screen for TB in areas with a high burden of the disease but not many skilled readers.
January 4, 2011
Second-reader CAD improves VC sensitivity
By Eric Barnes
Computer-aided detection (CAD) works best in virtual colonoscopy when human readers do their job first, according to a new study. The use of CAD as a second reader improved both per-patient and per-polyp detection, while running CAD concurrently with the initial read was less effective.
December 13, 2010
Previous Page
Page 114 of 123
Next Page