AutoReport
AI reporting assistant for radiology
Software · Cloud SaaSCompany source
Company profile
About Gleamer
Gleamer is a medical imaging AI company that provides comprehensive clinical decision support solutions for radiologists worldwide. The company's flagship platform, Gleamer Copilot, offers an all-in-one AI suite covering X-ray, CT, mammography, and MRI modalities. Gleamer's product portfolio includes BoneView for bone trauma detection, BoneMetrics for MSK measurements, ChestView for thoracic pathologies, BreastView for breast lesions, LungCT for pulmonary nodules, and multiple neurological imaging solutions. The platform is powered by proprietary foundation models built specifically for radiology and integrates directly into existing RIS workflows to enable worklist prioritization, automated reporting, and enhanced diagnostic accuracy. With over 60 million exams analyzed annually across 3,500+ clinical sites in 50+ countries, Gleamer serves leading healthcare institutions including emergency departments, hospitals, and radiology practices. The company's solutions are backed by extensive clinical validation with 60+ peer-reviewed publications and 140+ international clinical studies. Gleamer's technology aims to help radiologists work faster, improve diagnostic accuracy, and deliver better patient care through AI-assisted image interpretation and automated reporting capabilities.
Company description Gleamer official website
Primary marketMedical Imaging & Radiology
Commercial modelCommercial information available on request
Company presenceOfficial website
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01 · Operating footprint
Where the Company operates
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Clinical focus
- Bone fractures and trauma
- Bone maturity assessment
- Breast lesions
- MSK conditions
- Multiple Sclerosis
- Pulmonary nodules
- Secondary bone lesions
- Spine pathologies
- Thoracic pathologies
Who it serves
- Clinical Institutions
- Emergency Departments
- Health Systems
- Hospitals
- Radiology Practices
Deployment & integration
Cloud Saas deployment with recorded integration context.
Recorded integration context: PACS workflows, RIS (Radiology Information System).
Geographic context
Markets50+ countries globally · Europe · France · Germany · Portugal · United Kingdom · United States
Company sourceOfficial website
Company milestones
Platform expansion
Deployed across 3,500+ clinical sites in 50+ countries, processing 60M+ exams annually. Multiple product launches including Voice AI reporting agent, AutoReport AI assistant, and expanded MRI capabilities with Pixyl.Neuro solutions.
Partnerships
Recorded partners
- Caritas Hospital Berlin
- NHS emergency departments
- St. Luke's Health System
02 · Flagship portfolio
Products, workflows, and platform capabilities
Selected source-backed Company products and the available commercial context.
BoneAge
AI for bone maturity assessment
Software · Cloud SaaSCompany source
BoneCT
AI for secondary bone lesion detection on CT
Software · Cloud SaaSCompany source
BoneMetrics
AI-driven MSK measurements automation
Software · Cloud SaaSCompany source
BoneView
AI for bone trauma detection on X-rays
Software · Cloud SaaSCompany source
BreastView
AI for breast lesion detection on mammography
Software · Cloud SaaSCompany source
ChestView
AI for thoracic pathology detection on chest X-rays
Software · Cloud SaaSCompany source
Gleamer Copilot
The all-in-one AI solution for radiology
Platform · Cloud SaaSCompany source
GleamerOS
Operating system for radiology AI orchestration
Platform · Cloud SaaSCompany source
03 · Research intelligence
Research Intelligence evidence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Evidence position
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
Publications & preprints
Artificial Intelligence (Pattern Recognition) in Musculoskeletal Imaging: The Future or Hype?Seminars in musculoskeletal radiology · May 12, 2026
Artificial Intelligence in Sports Medicine: A Decision-Centered Framework for the Future Sports Physician.Diagnostics (Basel, Switzerland) · May 9, 2026
Performance of a deep learning-based algorithm for automated measurements of Cobb angles on preoperative spine radiographs in adolescent idiopathic scoliosis.Pediatric radiology · Mar 1, 2026
Observational evaluation of AI-assisted measurements and reporting for enhanced workflow efficiency in leg and foot radiographs.European journal of radiology · Jan 1, 2026
How Can Artificial Intelligence Help Avoid Mistakes in Musculoskeletal Imaging?Seminars in musculoskeletal radiology · Oct 1, 2025
Deep learning algorithm enables automated Cobb angle measurements with high accuracy.Skeletal radiology · Jul 1, 2025
Clinical validation
Clinical-trial records
AI-Assisted Fracture Detection in Emergency RadiographyNCT06754137 · Mentioned · COMPLETED
AI Assisted Detection of Fractures on X-Rays (FRACT-AI)NCT06130397 · Sponsor · COMPLETED
AI Performance for the Detection of Bone Fractures in ChildrenNCT05538403 · Mentioned · UNKNOWN
Radiologist Diagnostic Performance Versus Artificial Intelligence (AI)NCT04304742 · Mentioned · COMPLETED
Clinical Validation of Boneview for FDA SubmissionNCT04532580 · Sponsor · COMPLETED
Regulatory
Regulatory records
ChestView USK241620 · 510k · Feb 27, 2025
BoneMetrics (US)K241593 · 510k · Feb 5, 2025
BoneViewK222176 · 510k · Mar 2, 2023
BoneViewK212365 · 510k · Mar 1, 2022
04 · Company-reported outcomes
Outcomes and case studies
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
70% reduction in reading time
with BoneMetrics and AI automated report combined
350 days reduction in accumulated waiting time
across patient population
60M+ exams analyzed per year
across deployed sites
Caritas Hospital Berlin
Leveraging AI tools to support colleagues in enhancing patient care 24/7 across radiology department
Supporting patient care 24/7 with cutting-edge AI technologies
St. Luke's
Integrating Gleamer AI into diagnostic imaging workflows to enhance accuracy, speed and consistency of image interpretation
Improved accuracy, speed and consistency enabling quicker and more precise diagnoses
Unnamed Emergency Department
Using BoneMetrics and AI automated reports to reduce reading time for musculoskeletal examinations
70% reduction in reading time
Unnamed Healthcare Facility
Implementing AI to enhance safety of emergency care in context of radiologist shortage and preventable adverse events
350 days reduction in accumulated waiting time
05 · Leadership
Leadership team
Leadership profiles and professional links from the current Company record.
Prof. Dr. med. Dr. rer. medic. Stefan M. Niehues
Head of Radiology at the Caritas Hospital Berlin
Dr. Robert Fournier
Chairman of Radiology at St Luke's
Avi Sharma
Radiologist, MD, CIIP
Dr. Benoît Jammot
Emergency Physician
Rodrigue Alexander
Director of Digital Transformation
06 · Company updates
Updates from Gleamer
Recent articles published on Gleamer's official website.
No Company updates are currently listed.
07 · HAIC coverage
Coverage and analysis
Health AI Central reporting that mentions this Company.
No HAIC coverage is currently linked to this Company.
08 · Official presence
Company sources and channels
Curated official destinations from the active Company record.
09 · Market pathway
Additional Companies in this Market
Other active Companies in the same market, selected alphabetically from the HAIC directory.
Market context
Medical Imaging & Radiology
Companies that apply AI to analyze medical images for diagnostic purposes, workflow optimization, or clinical decision support. Covers general radiology (X-rays, CT scans, MRIs, ultrasounds) across multiple organ systems, as well as specialized imaging in ophthalmology and dermatology.
Explore the full market directory or compare this Company with additional active profiles.
View all Companies in this market
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Linked research, clinical, and regulatory source pathways.
Expanded product, deployment, integration, and partnership research.
Record-level provenance and review context.