Shaping the Future of Radiology with AI-Driven Precision
The Next-Gen AI Radiology Reporting and Enterprise Imaging Cloud PACS Solution. Slash reporting time by 80%, boost accuracy, and streamline your entire diagnostic workflow – from anywhere, on any device.
- HITRUST Certified
The Problem
70% Physicians spend their time on documentation
35% time spent
on manual reporting, which detracts from their focus on diagnostics and patient care
30% retrospective error rate
can lead to treatment delays and poor patient outcomes
76% of Radiologists reported
primarily due to high workload, long hours, and lack of support
Automated Radiology Report Generation Solutions
Which One Meets Your Needs?
RadioView.AI™
Enterprise Imaging & Automated Report Generation
with Automated Radiology Report Generation
A cloud-based PACS with AI-powered radiology reporting for hospitals and imaging centers.
RadReport™
AI-Driven Radiology Reporting for Your Existing PACS
for Automated Radiology Reporting
Impact
ROI Breakdown
1,000 Studies Evaluated Per Physician
Cost per study before RadReport
$150
Cost per study after RadReport
$75
Time Saved (Minutes)
1,400 min
Financial Benefits
$75,000
Productivity Gains
1.0x more efficient
* For comparison purposes, we have assumed a radiologist’s earnings to be $75 per case. However, actual costs may vary depending on the specific case and the individual radiologist.
RadReport™
Gen AI-Driven Radiology Reporting for Any PACS
Faster, smarter, and highly accurate results
Available on All Major Platforms
Access anywhere, anytime with a seamless workflow.
Your Questions Answered
RadioView.AI combines next-generation AI-powered radiology reporting with a seamless, cloud-based PACS solution. Unlike traditional platforms, it automates report generation, integrates ICD-10 and CPT coding, and reduces speaking time by up to 80%, letting radiologists focus on image analysis instead of manual documentation. RadioView.AI also offers multi-site access, mobile compatibility, and patient-friendly summaries-delivering faster, smarter, and more accurate results.
By automating up to 80% of reporting tasks and eliminating manual documentation, RadioView.AI allows radiologists to focus on diagnostics and patient care, significantly reducing administrative burden and burnout.
Yes, RadReport is designed for seamless integration with any DICOM/PACS system. It also offers a Chrome extension for direct browser-based reporting.
You can easily integrate any AI model with our solution to enhance workflows with greater accuracy and efficiency. RadioView.AI offers flexible deployment across multiple platforms, including Mobile Viewer, Web Viewer, and Desktop Viewer. With seamless AI integration and robust access controls, RadioView.AI future-proofs your radiology practice accessible anytime, anywhere, on any device.
RadioView.AI offers critical notifications, priority-based worklists, and role-based multisite authentication to ensure urgent cases are flagged and managed efficiently.
A: RadReport can cut reporting costs per study by 50%, save up to 1,400 minutes per 1,000 studies, and deliver significant ROI and productivity gains-up to 791% ROI reported by users
Yes, NeuroICH is FDA 510(k) cleared. This means it has met the rigorous standards set by the U.S. Food and Drug Administration for safety and effectiveness as a radiological computer-aided triage and notification software for intracranial hemorrhage detection.
Need more information?
Contact Us
We are the best in class
See the Future of Radiology in Action
Experience firsthand how RadioView.AI™ can reduce reporting time, enhance accuracy, and streamline operations for your department.
- HITRUST Certified
- HIPAA Compliant
