The University of California, Los Angeles (UCLA) and Theseus AI have signed a license agreement for software developed at the university that uses artificial intelligence (AI) to interpret MRI scans of patients' spines.
Theseus AI was formed to commercialize the technology, UCLA said. The software features a machine learning-trained algorithm that provides measurements of spinal stenosis from MRI exams. The algorithm also compares these measurements with those of patients of the same gender and a similar age and height to determine the degree of disease.
UCLA's agreement with Theseus AI was facilitated by the university's Technology Development Group, which manages its intellectual property portfolio.
![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)
