Imaging AI software developer HOPPR is accepting applications for the next cohort of its Catalyst Program in conjunction with the Society for Imaging Informatics in Medicine (SIIM) annual meeting.
The program is a research initiative that provides clinician scientists, imaging researchers, and AI developers with access to foundation models, curated datasets, and support from machine-learning scientists.
The first cohort included projects in breast imaging, chest radiography, and cancer risk prediction at institutions such as MAI Lab Lagos, The Catholic University of Korea, and the University of Illinois Cancer Center, according to the firm.
Applications are open at www.hoppr.ai/build/catalyst-program.
Check out AuntMinnie’s full coverage of SIIM 2026 here.
![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)
