Radiology Solutions
AI-powered radiology analysis platform for chest X-rays and medical imaging
Software · Cloud SaaSCompany source
Company profile
About Behold.ai
Behold.ai is a medical imaging AI company that develops advanced artificial intelligence solutions to assist radiologists and healthcare providers in analyzing medical images. The company specializes in AI-powered analysis of chest X-rays and other radiological imaging, helping to detect abnormalities, prioritize urgent cases, and accelerate diagnostic workflows. Behold.ai's flagship products have received regulatory clearances including FDA approval and CE marking, demonstrating clinical validation and safety for use in healthcare settings. The company's technology is designed to integrate seamlessly into existing radiology workflows, working alongside radiologists to enhance diagnostic accuracy while reducing reporting times. By leveraging deep learning and computer vision techniques, Behold.ai's solutions can identify potential pathologies and flag critical findings for immediate attention. The company serves hospitals, imaging centers, and healthcare systems globally, with a focus on improving patient outcomes through faster, more accurate diagnoses. Behold.ai's mission centers on democratizing access to high-quality diagnostic imaging interpretation, particularly in settings where radiologist shortages or high workloads may impact care delivery. The company continues to expand its product portfolio and geographic reach, working with healthcare partners to validate clinical outcomes and refine its AI models based on real-world performance data.
Company description Behold.ai 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
- chest abnormalities
- radiological pathologies
Who it serves
- Health Systems
- Hospitals
- Imaging Centers
Deployment & integration
Cloud Saas deployment with recorded integration context.
Geographic context
Marketsglobal
Company sourceOfficial website
02 · Flagship portfolio
Products, workflows, and platform capabilities
Selected source-backed Company products and the available commercial context.
red dot® CTH V1
AI-powered CT head triage for intracranial hemorrhage and acute infarct detection within 5 minutes
Software · Cloud SaaSCompany source
red dot® Lung Cancer Detection Platform
AI-powered chest X-ray analysis for rapid lung cancer detection and triage in 30 seconds
Software · 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
Validation of an artificial intelligence solution for acute triage and rule-out normal of non-contrast CT head scans.Neuroradiology · Apr 1, 2022
Augmenting lung cancer diagnosis on chest radiographs: positioning artificial intelligence to improve radiologist performance.Clinical radiology · Aug 1, 2021
Diagnosis of normal chest radiographs using an autonomous deep-learning algorithm.Clinical radiology · Jun 1, 2021
Clinical validation
Clinical-trial records
No linked records are currently available.
Regulatory
Regulatory records
Red DotK191556 · 510k · Feb 28, 2020
04 · Company-reported outcomes
Outcomes and case studies
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
improved diagnostic accuracy
AI-assisted radiology interpretation
reduced reporting times
radiology workflow optimization
Apollo Hospitals India
COVID-19 detection and post-pandemic recovery support
Instant triage of over 82,000 CXR exams for visible signs of COVID-19
Basildon University Hospital (Mid and South Essex NHS Trust)
Reduced CXR backlog using AI instead of outsourcing
Analyzed 4,415 CXRs in 3.5 days compared to 4-8 weeks using outsourcing
Calderdale and Huddersfield NHS Foundation Trust
Reduced waiting times for suspected lung cancer patients and CXR workload
71% reduction in waiting times for suspected lung cancer patients; 25% of CXR workload reduced from 7 days to 7 seconds
Dartford and Gravesham NHS Trust
Supporting radiology workforce efficiency and workflow management
Enabled more efficient reporting management
NHS Hospital (unnamed)
Reduced entire CXR backlog and fast-tracked lung cancer patients
Reduced backlog of 3,500+ patients in 10 minutes; fast-tracked 67 lung cancer patients for treatment
Somerset NHS Foundation Trust
Rule-out normal chest X-ray exams and fast-track diagnosis of suspected lung cancer
Fast-tracked diagnosis of suspected lung cancer patients
US Healthcare Provider (via Merative partnership)
AI pneumothorax triage and CXR backlog reduction
Guaranteed triage notifications in less than 60 seconds
05 · Leadership
Leadership team
Leadership profiles and professional links from the current Company record.
Simon Rasalingham
Executive (role unspecified)
Neil Perry
Associate Director Digital Transformation
06 · Company updates
Updates from Behold.ai
Recent articles published on Behold.ai'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.
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Linked research, clinical, and regulatory source pathways.
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