Chest IQ
AI software for chest X-rays, coming soon. Chest IQ is being built to flag possible findings for the radiologist, put urgent cases first, and draft structured reports in seconds.
Chest IQ is being built to support radiologists and clinicians reading chest X-rays. It will flag possible findings for review, bring urgent cases to the top of the worklist, and draft a structured report, working inside the PACS and RIS teams already use.
Intelligent Capabilities
Real-time Analysis & Detection
AI pre-analysis completed in 10 seconds before radiologist review. Worklists are prioritized automatically by finding urgency, with consistent performance during high-volume periods.
Specialist-Level Detection in Every Setting
High detection accuracy across key chest pathologies. Reading and reporting time is reduced by up to 40% on routine cases, powered by a deep-learning architecture optimized for chest imaging.
Comprehensive Findings Assessment
Precise abnormality localization and description, automated severity scoring, and structured clinical reports your reviewers can finalize without rewriting.
Seamless Integration Without Workflow Disruption
Automatic result documentation, direct PACS/RIS/EMR connectivity over HL7, and cloud or on-premise deployment matched to your environment.
Point-of-Care Decision Support
Evidence-based next steps based on detected findings, automatic comparison with prior studies, and referral guidance and pathway support.
Multi-team Communication
Findings are shared instantly across the care team. Access on any device — mobile, tablet, or workstation — including remote radiologists providing coverage from anywhere.
Built for the teams who read chest X-rays.
Radiology Departments
Support for high reading volumes and consistent reports.
Emergency and ICU Teams
Possible urgent findings surfaced sooner.
Primary Care and Remote Sites
Support where a radiologist isn't always on site.
The details
Imaging modalities supported+
Chest radiographs in DICOM and standard PACS formats. Supports posteroanterior (PA), anteroposterior (AP), and lateral projections.
Throughput envelope+
Pre-analysis completes in ~10 seconds per study at 1× hardware. Throughput scales linearly with provisioned compute; engineering will size to your peak hourly volume.
Deployment model+
Cloud, on-premise, or hybrid. On-premise deployments ship as a hardened container set; cloud is region-bound to Saudi Arabia by default for PDPL alignment.
Integration interfaces+
HL7 v2.x for orders and results; DICOM C-STORE / C-FIND for image exchange; REST APIs for downstream automation; SMART-on-FHIR for EMR launch contexts where supported.
Security posture+
AES-256 encryption at rest, TLS 1.3 in transit, role-based access control, full audit logging. On-prem deployments isolate from the public internet by default.
Reporting outputs+
Structured DICOM SR objects, PDF reports, and templated EMR-friendly text. All outputs include localization overlays and confidence scoring.
Clinical scope+
Chest IQ is an AI-assisted reading aid intended to support, not replace, qualified clinical interpretation. Final reporting remains under licensed clinician sign-off.
Fits into the systems you already run
PACS
DICOM C-STORE and worklist integration with major PACS systems.
RIS
HL7 order and result messaging with leading RIS platforms.
EMR
Direct EMR integration via HL7 and SMART-on-FHIR launch contexts.
On-premise
Self-hosted deployment behind your firewall for highest-security environments.
Cloud
Saudi-region cloud deployment with PDPL-aligned data residency.
Frequently Asked Questions
Chest IQ runs inside your existing PACS and reporting environment, so radiologists adopt it without changing how they read studies. Most teams complete onboarding in a single 90-minute session covering result interpretation, escalation, and feedback workflows.
Read more
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Built on a clinical-grade foundation
Medical-device quality management system
Information security management system in implementation
Developed under an IEC 62304-compliant software lifecycle
On-premise or Saudi-region deployment — customer's choice
Encryption at rest; TLS 1.3 in transit
Saudi Personal Data Protection Law compliance
Clinical data exchange on the FHIR R4 standard
Native DICOM imaging interoperability