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Reviewed and published by trentmaziarz, June 30, 2026. Discovered and drafted by our automated research pipeline.

Boston Children's Hospital tested an AI system in its radiology department that automatically examines X-rays and MRI scans, identifies the most diagnostically valuable images, and flags discrepancies for radiologist review. The pilot, using Red Hat OpenShift via the ChRIS Research Integration Service platform, began in May 2024 and focuses on fetal and pediatric imaging.

Details

Before the pilot, quantitative measurements in radiology had to be done manually, and more complex image analyses were performed offline, outside the clinical workflow. The AI application runs on Red Hat OpenShift via ChRIS, a web-based medical image platform, and has the potential to automatically examine X-rays, identify the most valuable diagnostic images among thousands taken, and flag discrepancies for a radiologist. For fetal MRI, the system uses AI algorithms developed in collaboration with MIT to reconstruct image volumes from fragmented scans. As of late 2025, the Red Hat blog continued to describe the effort as a pilot.

Products affected

ChRIS Research Integration ServiceRed Hat OpenShift AIFetal Neonatal Neuroimaging and Developmental Science Center workflows

Sources & Evidence

Company Disclosure

Open source and AI are transforming healthcare at Boston Children's Hospital

Red Hat·Nov 2025

https://www.redhat.com/en/blog/open-source-ai-transforming-healthcare-boston-Children-hospital

Company Disclosure

Red Hat Works to Advance Radiology through AI

Red Hat·May 2024

https://www.redhat.com/en/about/press-releases/red-hat-works-advance-radiology-through-ai

News Article

Red Hat Works to Advance Radiology through AI

Business Wire·May 2024

https://www.businesswire.com/news/home/20240521758372/en/Red-Hat-Works-to-Advance-Radiology-Through-AI

Cite this record

Trace Foundation. (2026). Boston Children's Hospital: Boston Children's Hospital tested an AI system in its radiology department that automatically examines X-rays and MRI scans, identifies the most diagnostically valuable images, and flags discrepancies for radiologist review. The pilot, using Red Hat OpenShift via the ChRIS Research Integration Service platform, began in May 2024 and focuses on fetal and pediatric imaging (data as of 2026-06-30) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/e55cecc8-6b0c-42de-ae8d-09ca86628779. Accessed October 5, 2026.

Stable link: https://www.aitrace.org/r/practice/e55cecc8-6b0c-42de-ae8d-09ca86628779
Data as of: June 30, 2026
Last verified: Not recorded

How to cite AI Trace

Other practices by Boston Children's Hospital

OtherBoston Children's Hospital integrated OpenAI's ChatGPT for Healthcare, an enterprise-grade, HIPAA-compliant AI workspace, rolling it out to clinical, research, and administrative staff as one of the platform's earliest adopters at launch in January 2026. The platform is powered by GPT-5 models evaluated through physician-led testing.Data AnalysisBoston Children's Hospital deployed VirtualHip, a fully automated AI tool integrated across its Adolescent and Young Adult Hip Preservation Program clinic, which converts routine 2D medical images into detailed 3D hip models and provides clinicians with diagnostic and treatment guidance within about one hour. It is described as the first fully automated AI tool of its kind deployed across a US hip clinic.ProductivityBoston Children's Hospital deployed an AI system that analyzes clinical notes and estimates how sick each patient is to improve how operating room time is allocated. This allows surgical schedules to be planned further in advance, increasing the number of patients who can receive timely care.

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