Rad Ai reporting

Modernize Your Radiology Reporting

Create personalized, accurate reports up to 50% faster, with up to 90% fewer words dictated — all within your existing workflow.

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Trusted by 200+ Health Organizations

THE RAD AI DIFFERENCE

Built Around How Radiologists Actually Work

Multi-author workflows

AI-generated impressions with consensus guidelines

Real-time quality checker

Advanced cloud speech recognition

Conversion of free‑form dictation into a fully populated structured report

Auto-carry forward of unchanged findings for follow-up exams

Automated formulas and calculations

speak less, say more

How It Works

Speak naturally using your preferred microphone. Support for voice commands, structured templates, macros and free-form dictation helps streamline your workflow and reduce clicks. Rad AI works seamlessly with your PACS, RIS and EHR.

Omni Report generates the entire report and impressions —personalized to your style — with Rad AI’s advanced speech model, saving time and reducing your cognitive load.

Real-time quality checks and auto-insertion of clinical guideline-based recommendations help radiologists produce more accurate, consistent reports — before they’re signed.

Quickly review and finalize the report, moving on with greater speed, accuracy and less cognitive fatigue.

Next-Generation Reporting

Next-Generation Speech Intelligence

Our industry-leading speech engine is deeply tuned for radiology, delivering best-in-class accuracy, real-time dictation and continuous improvement for faster, interruption-free reporting

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Real-World Experiences

Proven Results in Practice

After implementing Rad AI Reporting at ARA Health Specialists, median time on report decreased by 20% — a 20-second reduction per study. Top quartile radiologists were 40% faster, while top decile radiologists achieved up to 60% faster report times — saving more than a minute per report.

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Moving to Rad AI was 100% the right move for ARA Health… We’re already seeing a meaningful impact that will shape how our physicians practice for years to come.
Joseph Guiffrida
COO, ARA Health Specialists

What Sets Rad AI Apart

Built by Radiologists for Radiologists. Optimized for Scale. Trusted by IT.

Speak continuously, in any order, without managing fields, timing cues or system rules. The software adapts to you — not the other way around.

Personalized impressions trained on your historical reports preserve your voice, phrasing and clinical intent — with less editing and fewer downstream questions.

Eliminate repetitive dictation and catch inconsistencies, omissions and subtle errors in real time — reducing the need for addendums, and giving you greater confidence at sign-off.

Move beyond legacy, system-driven reporting to a cloud-native platform intentionally designed around the radiologist experience and future extensibility.

Attract and retain top talent by removing friction from the reporting process — improving efficiency, report quality and burnout.

Cloud-native SaaS eliminates hardware purchases, upgrade cycles and on-prem maintenance — delivering predictable operating costs with no end-of-life exposure.

Cloud-native reporting removes application and SQL servers, patching, backups and high-availability management — eliminating upgrade projects and infrastructure lifecycle risk.

Modern cloud architecture delivers continuous innovation and automatic updates without disruptive version migrations — while providing a scalable foundation for future AI and emerging technologies.

Requires only a lightweight HL7 edge agent on-prem, while supporting standards-based integrations (HL7, FHIR, DICOM-SR, SAML, OpenID Connect) and existing radiologist hardware — with no forced upgrades.

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Trusted by Leading Health Systems and Radiology Practices

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Rad AI Reporting has allowed me to spend more time looking at the exam I'm interpreting and less time checking the report.
Scott Prechter
MD, ARA Health Specialists

Discover the Future of Reporting

Join the Leading Organizations Who Trust Rad AI

Technology is only part of the equation. We stay closely involved from implementation through ongoing support — making sure the system performs in practice, not just at go-live. Ready to see what that looks like for your team?

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Learn about Rad AI Impressions