Artificial Intelligence: Page 113

Two lung CAD systems unaffected by low dose

By Eric Barnes

A face-off between two lung nodule computer-aided detection (CAD) systems found a big difference in sensitivity for detecting solid pulmonary nodules, but it also revealed the good news that nodule detection was unaffected by low-dose scanning. The number of false positives also differed significantly between the two systems, researchers from Germany reported.

May 10, 2009

VC CAD plus 3D improves sensitivity for novice readers

By Eric Barnes

Computer-aided detection (CAD) with 3D viewing improves sensitivity for polyp detection among less experienced readers, and may also speed up reading times and reduce false-positive detections. On the other hand, the performance of experienced readers did not improve significantly with CAD use, researchers from the University of Rome concluded.

April 20, 2009

Virtual colonoscopy CAD finds most cancers

By Eric Barnes

A computer-aided detection (CAD) algorithm designed to find polypoid lesions of the colon also does fairly well at finding frank cancers, researchers from the U.K. concluded. But sensitivity varies depending on the system settings and the quality of the prep.

April 2, 2009

CAD performance changes with breast density

By Brian Casey

Changes in breast density can affect the performance of computer-aided detection (CAD) software used to analyze mammography images, according to results of a study from Spain presented at the European Congress of Radiology.

March 24, 2009

Mammography CAD recalls baffle CADET II researchers

By Brian Casey

Why do radiologists reviewing mammograms accept some prompts made by computer-aided detection (CAD) software, while others are rejected? Even researchers from one of Europe's most prominent CAD studies aren't sure, according to research presented at this month's European Congress of Radiology.

March 19, 2009

Integrating lung CAD with PACS boosts utilization

By Erik L. Ridley

VIENNA - Integrating computer-aided detection (CAD) technology into PACS workstations can dramatically boost its usage for detecting pulmonary nodules on MDCT studies, according to research from the University of Munich in Germany.

March 5, 2009