BreastCheck, the National Breast Screening Programme in Ireland, has chosen DetectedX to provide radiologists with access to its on-demand web-based educational services. The online services are designed to improve radiologists’ ability to detect breast lesions, resulting in a 34% improvement in cancer detection, the vendor states.
DetectedX was established to aid doctors and radiologists diagnose breast cancer, lung cancer, and COVID-19 faster and more accurately. Its online on-demand educational platform aims to improve radiological detection and is used by more than 3,000 users across 150 countries.
The company's technology platform enables radiologists to review 2D and 3D mammography cases in real time. Radiologists can identify errors as the program uses metrics including sensitivity, specificity, true positive, true negative, false positive, and false negative scores to gauge their performance, according to the vendor.
Following completion of each training module, users receive CME credits.
![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.auntminnieeurope.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)
