RadioViewAI in one deck: the AI-Viewer, CareTeam Connect, AI-Chat, AI Measurements, RadReport™, RadEnhance, Customization Studio and the AI Module Suite.
Shape the Future of Radiology Reporting and Imaging with AI-Driven Precision.
AI-Powered Intelligent Care, Saving Lives!
“If anyone saved a life, it would be as if they saved the life of all mankind”
Longer treatment times, delayed diagnoses and increasing burnout, who will read scans ?
30%
Delayed Diagnosis
25%
Report Delays
40%
Staff Shortages
Longer Treatment Times: Staff shortages extend treatment, delaying diagnoses.
Delayed Diagnoses: Slower care leads to worsened health outcomes.
Burnout: Overwork causes stress and exhaustion, lowering care quality.
Reduced Quality: Staff shortages and burnout slow workflows, impacting accuracy.
Meet
Industry estimates from internal materials.
All-in-one DICOM viewer
DICOM Image Viewing Access and review images from multiple modalities in a unified viewer.
Instant Report Generation Use AI to generate detailed reports for each imaging study and retrieve relevant prior templates with RadMatcher.
AI Extract Transform unstructured radiology reports into structured data with accurate extraction of key findings, diagnoses, and follow-up recommendations using study-type templates.
Unified Multi-Site Access Zero-footprint platform with instant, secure access to every site - perfect for teleradiology.
Multi-User Access: Shared Radiology Reporting
Empower your healthcare team with CareTeam Connect to enable secure, real-time collaboration across radiology reports. Share mutual access with trusted team members (e.g., assistants, practitioners) to co-manage reports effortlessly.
Access Management
Collaborative Editing:
Users can view and edit reports, enabling team-based decision-making.
Access Control:
Only report owners remain in control, having signing and revoking authority.
Case Summaries Included
Collaborative AI-Chat for Physicians Allows physicians to engage in real-time discussions about patient cases.
Dynamic Patient Summary Generation Automatically updates patient summaries as physicians chat, ensuring a real-time, comprehensive overview of the patient's status.
Automated segmentation and volumetric calculations
Direct integration into the existing PACS interface
Simultaneous segmentation across multiple slices. Instant, accurate volumetric calculations of anatomical structures. Results displayed as overlays or new series. Automated population into structured reports. Accelerated comparison between current and prior scans.
Standalone report generation with existing PACS
AI-Driven Report Generation Generate detailed, structured reports in seconds. Comprehensive Documentation Includes findings, impressions, and recommended next steps. Seamless Integration Operates seamlessly with or without system integration. Multiple Addendum Support Append multiple addendums to signed reports and download them
Scribe Mode + Companion Mode Scribe Mode: Add details manually Companion Mode: Details fetched automatically
Smart Suggestions
Clinical & Financial Impact
Flags Missing/Unclear Details Analyzes reports for under-documentation that may impact compliance or diagnostic quality. AI-Guided Suggestions Provides improvements based on clinical standards. Real-Time Integration Accepted edits are instantly reflected in report. Billing-Critical Gaps Identifies documentation gaps that affect reimbursement or lead to denials.
Shape the system your way
Template Library Customize reports to match your needs
Hanging Protocols Automatically arranging medical images
Snippets Voice-Activated triggers
Vocabulary Add and manage custom terminology
AI modules for triage and prioritization
AI-Analysis: Comprehensive clinical data insights
Transformation of patient data into a clear, readable and comprehensive format enriched by clinical insights, with seamless access to prior studies for accurate clinical context.
AI-Findings: Integrate with any AI model
Seamlessly incorporate disease-specific AI modules - both internal and external - to automatically flag and prioritize suspicious scans, boosting radiologist efficiency with faster triage and AI-driven insights.
Each module is cleared for its own use only: NeuroICH K241719, MammoSightAI K252954, CXRDetectAI K253751.
Multi-Site Reading
Switching between any
PACS or DICOM
servers
RadioView.AI™ Offers Seamless Integration: With multiple facilities, providing a single reporting solution. With various systems through customizable settings.
Step 1
Add Connection
Step 2
Facility Details
Step 3
Manager Details
Fully Editable
Core Functions
Multiple Connection Options: Supports TCP/IP (Standard DICOM), TLS/Key-Based (DICOM over TLS), HTTP/HTTPS. Customizable Objective Content: Users can modify predefined content, tailoring it to specific needs for subsequent notes.
Template Library
Customize Reports to Match Your Needs: -Use our extensive library of pre-built templates - Import a New Template -Create and Customize a new template, tailored to your workflow using AI.
Hanging Protocols
Transforming Radiologist Workflow: Intelligent system that automatically arranges medical images based on modality, body part, clinical context, and radiologist preferences.
Snippets
Voice-Activated Snippet Integration and Efficient Documentation: Voice triggers to automatically incorporate predefined snippets streamlining report generation automatically.
Direct Time Savings from Unified Platform
Zero-Footprint Platform
benefits
1-2 min
Saved per patient (Philips integrated workspace)
2-4 hrs
Saved per week per radiologist (Unified system implementation)
8-16 hours
Saved per month per radiologist (Interruption reduction studies)
Interruption Reduction Benefits
Interruptions occur every 12 minutes in multi-platform environments. 85% of interruptions happen within 3 minutes of starting interpretation. Interruption frequency reduced from 15.1 to 11.8 minutes. 38.8% reduction in report turnaround time with uninterrupted workflows.
Designed targets from internal materials; actual results vary by site.
Workflow Benefits and Efficiency Gains
82% Faster Radiology report turnaround time.
Single Click Versus dozens of manual measurements.
15-40% Improvement in overall reporting efficiency.
70-90% Reduction in measurement time.
30-50% Reduction in inter-observer variability compared to manual measurements.
88% Radiologist satisfaction score for adoption.
Real-time Quality control and validation.
Designed targets from internal materials; actual results vary by site.
Return on Investment
$8
Healthcare AI ROI return per
$1 invested
200% ROI
As soon as AI model is deployed
400% ROI
Time Monetisation due to additional cases
800% ROI
Complete AI benefits Achieved
Phase 1
Foundation, 200% ROI, breakeven achievement from operational improvements
Phase 2
Scale, 450% ROI, full modality deployed
Phase 3
Transformation, 800% ROI, market leadership over a period of time
Time Saved per year/radiologist
30+ days
Published Results
Time Savings for Radiologists 15+ 8-hour working days 78 days in triage time 10 days in reading time 41 days in reporting time
https://pubmed.ncbi.nlm.nih.gov/38499053/
Illustrative estimates from internal materials, not guaranteed returns; actual results vary by site.
AI-Based Revenue Cycle Transformation for Radiology Reports
Reduce denial rates
Recapture lost revenue
37%
Documentation Gaps Reduction
+45%
Report Completeness Boost
30-40%
Faster Reporting
+20%
Reimbursement Increase
90%
Denials Resolved (Within 5 days)
Illustrative estimates from internal materials, not guaranteed returns; actual results vary by site.
The Business Case is Compelling
Healthcare organizations implementing personalized reporting systems demonstrate significant improvements in
Efficiency
97%
Decrease in reporting time
Revenue
23%
Improvement in reimbursement
Satisfaction
42%
Decrease in medical errors
Quality
Patient satisfaction scores
Risk Mitigation
Reduced liability exposure
Compliance
Enhanced regulatory adherence
Key Benefits: Hanging Protocol
Time Savings: 90% reduction in image arrangement time (from 30 seconds to 3 seconds per study) Cognitive Burden: 40% decrease in decision fatigue and repetitive stress injuries Diagnostic Consistency: 95%+ accuracy in automatic series arrangement
Designed targets from internal materials; actual results vary by site.
RadioView.AI Unified AI Integration Platform
Faster Triage
AI-Driven Insights
Enhanced Accuracy
40% improvement in workflow efficiency
27% higher sensitivity in detecting abnormalities
7% improvement in specificity for urgent cases
44% reduction in turnaround time for abnormal findings
12% improvement in diagnostic detection rates with AI assistance
99.7% specificity in critical finding detection
Critical findings flagged in 24 seconds vs 24.5 minutes manually
99.1% sensitivity for abnormal findings
6.3% higher accuracy than radiologists alone for critical findings
Figures from internal materials, not the measured performance of any RadioViewAI module.
Modality-Specific Speed Gains
Significant improvement in reporting latency Unified acceleration transforming radiology Quick, precise results without compromise
Time Saving Metrics
High-speed performance for smooth workflow Generating reports in seconds versus minutes Reduced burnout due to better turnaround time
Unparalleled Accuracy
Ensuring accuracy with contextual understanding Maintaining comprehensive, consistent reporting AI output reviewed and signed by the radiologist
Without RadioView.AI™
With RadioView.AI™
X-Ray
5min
15sec
CT
8min
14sec
MRI
10min
15sec
US
15min
30sec
Echo
30min
14sec
Time Saved per Report
12.9 minutes
Time reduction per report
~98.5%
Time Saved per Day
3 hours
Total Time Saved per Year
30+ days
*~Time saved is per radiologist.*
Study Overview
98.5%
Impression
93%
Findings
92%
Comparison
97%
Clinical History
96%
Designed targets from internal materials; actual results vary by site. Not evidence of clinical accuracy.
The time to act is now:
If your software reduces just 1 radiologist departure per year:
Soft ROI Operational Excellence
Rapidly scale tele-radiology services: Multi-center, multi-person team efficiency. AI-driven workflow efficiency: Single-click automation reduces dozens of mouse clicks. Decrease Iteration: Fewer interruptions, operational efficiency. Decrease billing complications: Resolves 50% of denials in targeted categories. Enhanced patient satisfaction and competitive advantage.
Software Efficiency Gains
Tele-Radiology Scaling: $50,000 Equipment elimination
AI Workflow Efficiency: $260,000 Automated processing vs. human time
Zero Interruptions: $167,600 Perfect workflow consistency
Billing Optimization: $32,000 Automated accuracy
Patient satisfaction: $200,000 No vacations, sick leave, or shift swaps
TOTAL ANNUAL ROI SUMMARY Compensation savings: $853,000 Software Gains: $709,600 Total Annual Savings: $1,292,600
Illustrative estimates from internal materials, not guaranteed returns; actual results vary by site.
$ Return per $1 Spent
Using RadioView.AI
Features
With RadioView.AI
AI Viewer [Collaborative]
$5 for every $1 spent
CareTeam Connect
$3 for every $1 spent
AI-Chat
$2 for every $1 spent
AI Measurements
$5 for every $1 spent
AI Powered Reporting
$10 for every $1 spent
RadReport
$8 for every $1 spent
RadEnhance
$2 for every $1 spent
Customization Studio
$5 for every $1 spent
Hanging Protocols
$3 for every $1 spent
Snippets
$1 for every $1 spent
Template Library
$1 for every $1 spent
AI-Suite
$1-10 for every $1 spent
AI-Analysis
$1 for every $1 spent
AI-Findings
Variable
Illustrative estimates from internal materials, not guaranteed returns; actual results vary by site.
AI triage and prioritization modules for various imaging modalities
Ability to add any other external AI Detection
NeuroICH
AI-Powered Intracranial Hemorrhage Detection
Rapidly flagging bleedings in brain imaging empowering clinicians to intervene early.
510(k) CLEARED
K241719
DenseViewAI
Automated Breast Density Assessment
Analyzing screening and diagnostic mammograms for comprehensive breast density assessments.
Clearance in review
MammoSightAI
Worklist prioritization of screening mammograms
Flags FFDM/DBT screening mammograms for priority review. Passive notification only; not a diagnostic.
510(k) CLEARED
CXRDetectAI
Triage and notification for chest X-rays
Flags and prioritizes chest X-rays for radiologist review. Not a diagnostic.
K252954
510(k) CLEARED
K253751
Lossy compressed and digitized film mammograms: reference purposes only, not primary diagnostic interpretation.
19 Domains, 200+ Controls
HITRUST CSF Certified 99.41% breach-free success rate Zero-Trust Architecture Verifies users and devices with strict data controls Continuous Risk Monitoring Instant security scanning and threat alerts
Security Framework Effectiveness Comparison
99.4%
HITRUST CSF: 60+ standards harmonized
75%
NIST CSF: 5 core functions
70%
ISO 27001: 114 security controls
99.41%: HITRUST’s published breach-free rate for certified environments. Framework figures: internal materials.
www.radioview.ai/book-a-demo/
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