Computer-aided detection (CAD) and digitizer vendor iCAD has introduced TotalLook, a software and digitizer package aimed at aiding users in their conversion to digital mammography.
TotalLook digitizes and delivers previous film mammograms to the same digital viewing station used to examine digital mammography images, according to the Nashua, NH-based vendor. It can automatically retrieve and receive patient information from HL7 or DICOM worklists, and can digitize standard mammography films in 23 seconds, according to iCAD.
The system includes an iCAD digitizer-based workstation and software, and comes with a suggested list price of $49,995.
By AuntMinnie.com staff writers
October 7, 2005
Related Reading
iCAD, RITA Foundation donate CAD system to UF, September 27, 2005
TeraRecon, iCAD expand relationship, September 13, 2005
New York hospital buys iCAD unit, September 7, 2005
iCAD, MagView sign technology deal, August 23, 2005
iCAD shows Q2 downturn, July 28, 2005
Copyright © 2005 AuntMinnie.com

![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=100&q=70&w=100)







![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)








