GE Healthcare and Boston Children's Hospital have joined forces to develop artificial intelligence (AI) algorithms designed to read the radiology scans of pediatric patients, according to a recent article from the Boston Business Journal.
Radiologists from Boston Children's and scientists from GE are keyed into using AI to identify critical findings on pediatric brain scans, though the algorithms are still in the early stages of development, the report noted. Once completed, the groups plan to embed the algorithms into current GE Healthcare imaging equipment.
"So many of our parents today are using their technology to care for their children, [to help] run their lives," Sandra Fenwick, CEO of the hospital said. "So how can we use that to help engage with our patients? ... That's an effort that we've also made some significant strides in and are beginning to make enormous investments in."
![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)
