Rad AI
Draft polished radiology impressions from dictated findings, tailored to each radiologist’s voice.
Key Takeaways
- What it is
- Draft polished radiology impressions from dictated findings, tailored to each radiologist’s voice.
- Best for
- Rad AI Reporting
- Rad AI Impressions
- Rad AI Continuity
- Rating
- 4.3/5
What is Rad AI?
Rad AI helps radiologists turn dictated findings into polished reports and helps care teams keep recommended follow-up imaging from being missed. Its Reporting and Impressions products draft and personalize report text within existing radiology workflows, while Continuity identifies follow-up recommendations and tracks outreach and completion. Built for radiology groups and health systems, it addresses repetitive dictation and manual patient tracking.
Rad AI Impressions learns each radiologist’s phrasing from de-identified historical reports, then drafts an impression from dictated findings inside the reporting system already in use. Continuity can carry a recommendation beyond the report by tracking communication and follow-up status through resolution.
Radiologists and health systems are the clearest fit, especially teams looking to reduce report-writing work or organize incidental-finding follow-up. AI-generated impressions still require review and sign-off by a licensed radiologist, so Rad AI supports clinical work rather than making independent medical decisions.
Who is Using Rad AI?
Radiologist
Less repetitive dictation leaves more attention for interpreting the exam and checking the report.
Nurse Navigator
A prioritized Continuity worklist helps track recommendations and coordinate next steps.
Radiology Operations Leader
Reporting and follow-up analytics help monitor efficiency, quality, and program performance.
Clinical Informatics Lead
Existing-system integrations and configurable reporting workflows support clinical technology deployments.
Uncommon Use Cases
Lung cancer screening follow-up management; tracking incidental thyroid nodules with TI-RADS categories.
Key Features
Rating Breakdown
Pricing Plans
Request-Based Pricing
- Request a demo to discuss Rad AI products and pricing.
Which Rad AI plan should you pick?
Start with a demo of the product that fits your radiology workflow, then request pricing for your organization.
Request-Based Pricing
For radiology practices and health systems evaluating Rad AI products; pricing is provided by request.
Rad AI Use Cases
Drafting Radiology Impressions
Dictated findings become a draft impression tailored to the radiologist’s language and style.
Outcome: Less impression dictation and editing.
Creating Structured Reports
Natural dictation can populate structured report fields while preserving templates and free-form workflows.
Outcome: More complete reports with less repetitive entry.
Carrying Forward Stable Findings
Unchanged findings from prior exams can be brought into follow-up reports.
Outcome: Less repeated dictation for unchanged findings.
Managing Incidental-Finding Follow-Up
Recommendations found in reports are categorized, assigned, communicated, and tracked.
Outcome: A tracked path from recommendation to follow-up resolution.
Coordinating Lung Cancer Screening
The Continuity lung cancer screening module manages patient identification, screening workflows, and follow-up communication.
Outcome: More organized screening follow-up and audit trails.
Workflow Ideas with Rad AI
Draft and Review a Radiology Report
- 1Dictate findings using the existing microphone and reporting workflow.
- 2Review the AI-drafted report and real-time quality checks.
- 3Edit as needed and sign the final report.
Close the Loop on an Imaging Recommendation
- 1Continuity detects a recommendation in a finalized radiology report.
- 2A navigator reviews and prioritizes it in a worklist.
- 3Communication and follow-up status are tracked through resolution.
Reduce Repeated Dictation on Follow-Up Exams
- 1Open a follow-up exam in the existing reporting workflow.
- 2Carry forward stable findings from the prior report.
- 3Review the report and dictate only relevant changes.
How Rad AI fits into your stack
Radiology reporting
Rad AI Reporting sits in the reporting workflow, turning dictated findings into structured reports and adding quality checks before sign-off.
Existing dictation tools
Impressions works with existing voice recognition and reporting systems, including PowerScribe and Fluency.
Clinical records and imaging systems
Continuity connects with EHR and radiology information systems to keep follow-up entries and status updates aligned with clinical workflows.
System integration
Rad AI documents connections using standards such as HL7, FHIR, and DICOM, along with a desktop app for Reporting.
Pros
- +Radiology-specific drafting: Report text is shaped around radiologists’ dictation and reporting workflows.
- +Personalized impressions: Drafts can reflect a radiologist’s language and phrasing rather than generic boilerplate.
- +Follow-up tracking: Continuity helps teams monitor recommendations through patient and provider communication.
- +Existing-system connections: Rad AI supports integrations with radiology and health record systems already in use.
Cons
- −Narrow focus: Its products address radiology workflows, not general writing or everyday AI tasks.
- −Sales-led buying: There is no public self-serve plan or published standard price.
- −Clinical review remains necessary: A radiologist must check and sign AI-generated impressions.
Limitations & when to consider alternatives
Known limitations
- Radiologist approval is required. A licensed radiologist must review and edit an AI-generated impression as needed, then sign the final report.
- Impressions training uses report text. Rad AI says its Impressions model is customized using de-identified historical reports, not images.
Look elsewhere when
- You need a general-purpose AI tool for work outside radiology.
- You need AI that interprets medical images directly rather than working from dictated findings and reports.
How to Use Rad AI
- 1
Choose the workflow
Compare Reporting, Impressions, and Continuity against the radiology work your organization wants to improve.
- 2
Request a demonstration
A product demo lets your team see the workflow and discuss fit with its current clinical systems.
- 3
Review the integration
Confirm how the selected product connects with your reporting system, PACS, RIS, or EHR.
- 4
Set up the reporting workflow
For Reporting, review existing templates, macros, and dictation preferences that should carry into the workflow.
- 5
Check AI-generated work
Radiologists review and edit draft impressions before signing the final report.
- 6
Track follow-up work
For Continuity, navigators manage recommendations in worklists and monitor communication and status updates.
Who is Rad AI For?
Radiologists
Reporting and Impressions target repetitive dictation while keeping the radiologist in control of the final report.
Health Systems
Continuity helps organize imaging follow-ups across patient, provider, and clinical workflows.
Radiology Practices
Reporting tools are built to fit existing templates, microphones, and reporting systems.
IT Teams
Standards-based connections support integration with existing clinical systems.
Radiology Executives
Reporting and follow-up products aim to improve efficiency, report consistency, and follow-up completion.
Frequently Asked Questions
Does Rad AI have a free plan?
The official site does not list a free plan or self-serve trial. It directs prospective customers to request a demo.
How much does Rad AI cost?
Rad AI does not publish standard prices on its site. Contact the company for pricing.
Does Rad AI work with existing reporting systems?
Yes. Impressions works with systems such as PowerScribe and Fluency, and Rad AI describes integrations with PACS, RIS, and EHR systems.
Does Rad AI replace radiologists or navigators?
No. Radiologists retain clinical judgment and final sign-off, while navigators and providers continue to decide how to act on follow-up recommendations.
Can Rad AI personalize impressions?
Yes. Rad AI says de-identified historical reports are used to customize Impressions to radiologists’ language, style, and reporting patterns.
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