Gleamer

AI alongside every step of radiology.

X-ray, CT, MRI, mammography and reporting in one ecosystem.

An AI ecosystem supporting radiologists from image interpretation to reporting.

AI second reading for trauma radiographs, highlighting findings for clinician review.

Automates MSK measurements on radiographs and EOS acquisitions.

Assists chest radiograph review by highlighting relevant thoracic findings.

Automates Greulich & Pyle bone-age assessment to support evaluation of skeletal maturity.

Detects and characterizes pulmonary nodules on chest CT for review and follow-up.

Highlights secondary bone lesions on CT to assist oncology staging and monitoring.

Assists mammogram review by highlighting suspicious lesions and assessing breast density.

Supports multiple-sclerosis follow-up with white-matter lesion measurements and longitudinal brain-MRI comparison.

Quantifies brain structures and compares age-matched references to support neurodegenerative assessment.

Supports lumbar-MRI assessment with structured findings organized by spinal level and side.

A voice-based reporting assistant for clinical dictation and template-based editing.

Turns AI findings into structured report drafts for clinician review, adjustment and signature.

Infrastructure for AI orchestration, deployment and result delivery within imaging systems.