The economic slowdown and a lack of licensing fees contributed to reduced revenue for computer-aided detection (CAD) firm Medipattern of Toronto in the second quarter of fiscal 2010 (end-December 31, 2009).
Revenue slipped to $16,000 Canadian ($15,000 U.S.) and $18,000 Canadian ($17,000 U.S.) in the second quarter and first half of fiscal 2010, respectively, versus $72,000 Canadian ($58,000 U.S.) and $148,000 Canadian ($141,000 U.S.) for the corresponding periods in 2008.
Net loss decreased, however, to $796,000 Canadian ($758,000 U.S.) for the quarter, compared with $1.06 million Canadian ($1 million U.S.) in 2008. For the six-month period, net loss was $1.51 million Canadian ($1.4 million U.S.), compared with $2.17 million Canadian ($2.1 million U.S.) for the previous year, the company said.
Related Reading
Medipattern names new CFO, February 1, 2010
Medipattern signs NJ customer, December 14, 2009
Medipattern, PenRad score install, December 8, 2009
Medipattern, PenRad sign B-CAD pact, November 30, 2009
Medipattern sales drop, loss grows, October 29, 2009
Copyright © 2010 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&dpr=2&fit=crop&h=167&q=70&w=250)
