KA Imaging has received a $150,000 INOVAIT Pilot Fund award to develop an AI-based triage tool for detecting cardiothoracic abnormalities on spectral x-ray images.
The project will use data from the company's Reveal 35C detector with SpectralDR technology, which performs single-exposure dual-energy imaging. The intended tool would flag suspected findings, including pulmonary nodules, consolidation, pleural fluid, and pneumothorax, and prioritize cases for review by non-radiologist clinicians before and after image-guided interventions, according to the company. A demonstration is expected in 2027.
The project involves a research collaboration with the University of Waterloo, KA Imaging noted. INOVAIT is Canada’s image-guided therapy and AI commercialization network.
![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)
