Rad AI is live · custom pricing · last verified 14 Nov 2026 · viability monitor
Rad AI
Radiology-only AI for reporting, impressions, and incidental-finding follow-up in one reading-room workflow.
For radiology groups whose bottleneck is dictation volume plus unclosed follow-up loops, Rad AI is the suite to beat: three products that behave as one system, not three point tools. Radiologist-led design shows in details like pre-generated stable findings for unchanged follow-up exams and guideline insertion that doesn't overwrite the report. Even so, Rad AI's own August 2026 post 'A Great Demo Isn't Proof' argues demo-driven procurement is insufficient — take the advice and demand outcome evidence from sites like ARA Health and Inland Imaging before you commit.
Verdict generatedVerified 7h ago · liveness 62/100 · cite: rightaichoice.com/tools/rad-ai
- High-volume radiology practices cutting dictation time and report turnaround
- Health systems automating incidental-finding follow-up to reduce liability
- Radiology groups wanting impressions drafted in each reader's own voice
- Organizations planning a transition off legacy dictation platforms like PowerScribe 360
- Non-radiology specialties such as pathology, cardiology, or emergency medicine
- Small practices without the IT bench to absorb a reporting-platform migration
- Teams whose only gap is follow-up tracking and who don't need a new reporting system
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Skip Rad AI if you are a non-radiology service line, or a small practice with no appetite for a reporting-platform migration — Reporting is a replacement, not a bolt-on, and much of the value assumes you adopt more than one product.
Adopting Rad AI Reporting is a platform migration, not a plug-in — budget IT and radiologist time for the transition the vendor itself flags as the main concern.
Contact-sales procurement with no published tiers in the sources reviewed, so cost has to be scoped against your radiologist headcount and how many of the three products you adopt. That puts Rad AI in the same buying bucket as enterprise radiology reporting platforms rather than lightweight per-seat dictation add-ons — compare against your incumbent PowerScribe 360 contract, since displacing it is the actual business case.
In short
Rad AI — Radiology-only AI for reporting, impressions, and incidental-finding follow-up in one reading-room workflow. Best for High-volume radiology practices cutting dictation time and report turnaround, Health systems automating incidental-finding follow-up to reduce liability, Radiology groups wanting impressions drafted in each reader's own voice. Pricing is on request (custom quotes).
What is Rad AI?
Rad AI — Radiology-only AI for reporting, impressions, and incidental-finding follow-up in one reading-room workflow. Best for High-volume radiology practices cutting dictation time and report turnaround, Health systems automating incidental-finding follow-up to reduce liability, Radiology groups wanting impressions drafted in each reader's own voice. Pricing is on request (custom quotes).
Rad AI is a radiology-only AI platform built around three connected products. Rad AI Reporting is an AI-first, cloud-native reporting system with continuous real-time speech that keeps pace with dictation, pre-generated stable findings for unchanged follow-up exams, and real-time quality checks before sign-off. Rad AI Impressions is a generative impressions tool trained on each radiologist's own voice and phrasing rather than generic boilerplate; it runs alongside your existing voice recognition, templates, and reporting system and inserts clinical guidelines without overwriting the report. Rad AI Continuity tracks and coordinates follow-up on 50+ categories of actionable incidental findings, handling provider and patient outreach without adding work for radiologists. Co-founded in 2018 by Jeff Chang, MD, a practicing radiologist, the company cites 11,000+ users across all products, 200+ health organizations, and nearly $150M in funding, with SOC 2 Type II and HIPAA compliance and human-in-the-loop QA since 2019. Its models are refined across seven model generations and trained on nearly a billion radiology reports. Rad AI is RSNA Ventures' first industry partner and a Top 5 most-considered AI company by KLAS. The whole product line targets one specialty rather than treating radiology as one department among many.
Key features
- AI-first, cloud-native radiology reporting
- Continuous real-time speech recognition that keeps pace without lag
- Pre-generated stable findings for unchanged follow-up exams
- Real-time quality checks before report sign-off
- Generative AI impressions trained on each radiologist's voice and phrasing
- Works with existing voice recognition, templates, and reporting systems
- Automatically inserts clinical guidelines without overwriting the report
- AI-powered follow-up management across 50+ actionable incidental finding categories
- Automated outreach coordination to providers and patients
- HIPAA compliant with SOC 2 Type II certification
- Human-in-the-loop QA since 2019
- Trained on a dataset of nearly a billion radiology reports
- Models refined across seven model generations
- Web-based with integration into existing PACS and reporting systems
- Reporting workflow built for groups migrating off PowerScribe 360
Behind the verdict
Rad AI's pitch is narrow on purpose, and that narrowness is the product. Instead of a generalist model that treats radiology as one department among many, the company sells three things that share one reading-room workflow. Rad AI Reporting replaces the dictation layer: AI-first, cloud-native reporting with continuous real-time speech, pre-generated stable findings for unchanged follow-up exams, and real-time quality checks before sign-off. It is explicitly aimed at groups migrating off PowerScribe 360, which the vendor pairs with an August 2026 blog post, 'Common Reporting Platform Transition Concerns (And Why You Should Still Make the Switch)', that names migration effort and disruption as the central risk rather than waving them away. Rad AI Impressions is the piece most groups can adopt without touching their stack — it works with your existing voice recognition, templates and reporting system, learns each radiologist's voice and phrasing rather than boilerplate, and inserts clinical guidelines without overwriting the report. Rad AI Continuity closes the loop on 50+ categories of actionable incidental findings, coordinating provider and patient outreach so the radiologist carries none of the follow-up administrative load. Strengths: a single specialty focus backed by a claimed dataset of nearly a billion radiology reports refined across seven model generations; radiologist-led design; and a September 2026 architectural argument ('Cloud' Isn't the Whole Story) suggesting the company is thinking about deployment architecture, not just model quality. The practice evidence quoted on the homepage is unusually specific — Lehigh Valley Health Network, ARA Health Specialists, Inland Imaging, Guthrie, Casper Medical Imaging, Radiology Associates of the Fox Valley, Strategic Radiology. Where it doesn't fit: non-radiology specialties, small practices without the IT bench for a reporting-platform migration, and teams whose only gap is follow-up tracking and who don't need new reporting. Rad AI's own messaging also cautions against deciding from a demo alone — 'A Great Demo Isn't Proof' (August 2026) argues buyers should demand outcome evidence — so treat a polished walkthrough as the start of evaluation, not the end. System requirements, API surface, and any published plan structure were not visible in the sources reviewed for this refresh.
Models under the hood
as of 2026-11-08
Limitations
- Rad AI is deliberately radiology-only: reporting, impressions, and incidental-finding follow-up for one specialty rather than broader clinical coverage.
- Adopting Rad AI Reporting is a reporting-platform replacement, and the company's own content ('Common Reporting Platform Transition Concerns,' August 2026) treats migration effort and disruption as the central risk, so plan for a transition project rather than a plug-in install.
- Impressions is the lighter-weight entry point because it works alongside your existing voice recognition, templates and reporting system.
- The vendor's August 2026 post 'A Great Demo Isn't Proof' argues that demo-driven evaluation is insufficient, which means you should budget time for outcome evidence from reference sites.
- Specific system requirements, API details, and product plan structure are not disclosed in the sources reviewed for this refresh.
as of 2026-11-03
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Is Rad AI still active?
Rad AI is live · custom pricing · last verified 14 Nov 2026 · viability monitor.
Viability score
How well maintained and how widely used is Rad AI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: November 2026
How we score →What's new in Rad AI
Checked 10 days agoAcross the latest 5 updates: 5 news mentions.
“Cloud” Isn’t the Whole Story: Evaluating the Architecture Behind Radiology Reporting
Rad AI argues that cloud-only radiology reporting is not sufficient on its own and positions its architecture against single-mode competitors.
Frosty or Fresh? Grading Our 2025 RSNA Predictions
Rad AI revisits and grades the predictions it made for RSNA 2025, published ahead of RSNA 2026.
The Cognitive Tax of Legacy Radiology Dictation
Rad AI argues legacy dictation systems impose a cognitive burden on radiologists beyond raw time cost, framing the case for Rad AI Reporting.
Common Reporting Platform Transition Concerns (And Why You Should Still Make the Switch)
Rad AI addresses the concerns health systems raise when leaving incumbent radiology reporting platforms, including migration effort and disruption.
A Great Demo Isn’t Proof
Rad AI argues that demo-driven evaluation is insufficient for radiology AI procurement and that buyers should demand outcome evidence instead.
What do users say about Rad AI?
What people actually say about Rad AI — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
ResearchedDiscussed by users across 3 sources (Hacker News, Bluesky, Lemmy) · researched Nov 5, 2026.
Weighted by the 34 posts each of 3 sources contributed.
- +Radiology-only focus across reporting, impressions, and follow-up rather than a generic healthcare AI suite
- +Impressions model trained on each radiologist's own voice and phrasing instead of boilerplate
- +Works alongside existing voice recognition and reporting systems without overwriting reports
- +Continuity handles follow-up coordination across 50+ incidental-finding categories without radiologist work
- +Human-in-the-loop QA since 2019 and SOC 2 Type II plus HIPAA compliance reassure risk-averse buyers
- −Almost no independent radiologist reviews or complaints in this dataset — claims are unverified
- −Most Hacker News mentions are Rad AI's own hiring posts, offering zero product insight
- −Pricing is contact-only, so cost and TCO comparisons against Nuance and incumbents are impossible upfront
- −No community data on uptime, accuracy, or follow-up compliance rates to validate vendor numbers
- −Radiology-only scope forces a second vendor for groups consolidating multi-specialty AI
- • No public pricing — expect enterprise contract negotiation and possible per-seat or per-study fees
- • Migration and integration effort for PACS and PowerScribe 360
- • Training and change-management time for radiologists learning a new reporting flow
How we verified this
Every listed fact about Rad AI — pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 14 Nov 2026. Analysis is drafted with AI models and checked against our editorial standards before publishing; see how we verify.
Verification history
We have re-verified Rad AI 14 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed SSL certificate
- — changed pricing page
- — changed features, switching in, hidden costs, limitations, who should skip it, switching out, summary, who it suits, our verdict, use cases, pricing fit, setup time, description
- — changed our verdict, description, who should skip it, who it suits, summary, pricing page
- — changed pricing page, limitations
- — changed pricing page
Showing the 6 most recent of 14 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Rad AI cost in 2026?
Rad AI: Pricing is on request (custom quotes). Pricing last verified 14 Nov 2026.
Where the pricing makes sense
The company stage and team size where Rad AI's pricing actually pencils out — and where peers do it cheaper.
Contact-sales procurement with no published tiers in the sources reviewed, so cost has to be scoped against your radiologist headcount and how many of the three products you adopt. That puts Rad AI in the same buying bucket as enterprise radiology reporting platforms rather than lightweight per-seat dictation add-ons — compare against your incumbent PowerScribe 360 contract, since displacing it is the actual business case.
Has Rad AI's pricing changed?
No plan price for Rad AI has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Rad AI?
Pick Rad AI if you are High-volume radiology practices cutting dictation time and report turnaround, Health systems automating incidental-finding follow-up to reduce liability, Radiology groups wanting impressions drafted in each reader's own voice, Organizations planning a transition off legacy dictation platforms like PowerScribe 360.
Look elsewhere if you are Non-radiology specialties such as pathology, cardiology, or emergency medicine, Small practices without the IT bench to absorb a reporting-platform migration, Teams whose only gap is follow-up tracking and who don't need a new reporting system, Buyers who intend to decide from a demo alone — Rad AI's own August 2026 post argues demos aren't proof.
Skip it if Skip Rad AI if you are a non-radiology service line, or a small practice with no appetite for a reporting-platform migration — Reporting is a replacement, not a bolt-on, and much of the value assumes you adopt more than one product.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Rad AI actually fits — and what changes day-one when you adopt it.
Run Rad AI Reporting as the AI-first reporting layer with continuous real-time speech, pre-generated stable findings for unchanged follow-up exams, and pre-sign-off quality checks, with PACS integration kept intact.
Outcome: Dictation time drops and report turnaround improves while the group keeps its PACS workflow; treat the migration itself as the project to plan, per the vendor's own transition guidance.
Add Rad AI Impressions alongside the existing voice recognition, templates and reporting system so drafts arrive in that radiologist's own phrasing with clinical guidelines inserted and the report left intact.
Outcome: Less boilerplate editing per study without a platform migration, making this the lowest-friction place to start with Rad AI.
Deploy Rad AI Continuity to monitor the 50+ categories of actionable incidental findings and coordinate provider and patient outreach automatically.
Outcome: Follow-up recommendations get tracked, communicated and completed without adding work for radiologists, reducing liability exposure and keeping patients in-network.
Use cases
- Generate a complete radiology report by dictating only the pertinent findings, saving dictation time.
- Produce impressions in each radiologist's own language style instead of boilerplate.
- Track and manage follow-up recommendations for incidental findings to improve outcomes.
- Reduce burnout by cutting repetitive dictation and the cognitive tax of legacy dictation systems.
- Add AI-assisted reporting into an existing PACS workflow without disrupting routine.
- Standardize reporting accuracy and consistency across a radiology group.
- Close incidental-finding follow-up loops to reduce liability and keep patients in-network.
- Plan and execute a transition off a legacy reporting platform like PowerScribe 360.
Setup time & first value
How long it actually takes to get something useful out of Rad AI — broken out by persona, not the marketing-page minute.
Impressions is the fastest path: it layers onto your existing voice recognition, templates and reporting system, so first value comes per radiologist rather than per site. Reporting is a platform migration — expect a scoped transition project measured in weeks to months depending on group size, with the vendor's August 2026 transition guidance as your planning document. Continuity depends on your
Switching to or from Rad AI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From PowerScribe 360: Rad AI Reporting is explicitly built for groups leaving it; read the vendor's August 2026 'Common Reporting Platform Transition Concerns' post before scoping.
- →From an incumbent dictation stack with Impressions first: run Impressions alongside the existing voice recognition and templates, then migrate reporting once radiologists are comfortable.
- →From manual follow-up tracking: map your incidental-finding categories and outreach process, then hand the 50+ categories to Continuity.
- ↗To a generalist enterprise reporting platform: export report content and templates from Rad AI Reporting before the contract ends, and confirm what leaves with Impressions output.
- ↗To a standalone follow-up tracker: reconcile open incidental-finding records from Continuity so no recommendation is lost when the loop is handed over.
- ↗To an in-house reporting build: scope the real-time speech, stable-findings and quality-check work as a build, not a purchase.
Integrations
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “Rad AI”, and we withheld 6: 6 could not be judged, because “Rad AI” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Rad AI.
Official links
What are the best Rad AI alternatives?
The closest alternatives to Rad AI we list are Docus, Ada Health and HIPAA SmartChat Assistant. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Docus | Freemium | Pricing not published | — |
| Ada Health | Freemium | Pricing not published | — |
| HIPAA SmartChat Assistant | Freemium | Pricing not published | — |
Alternatives to Rad AI
View all
Docus
Docus turns raw lab results into AI clinical interpretations, patient-friendly reports, and follow-up workflows for diagnostic labs.
Ada Health
Ada is a free AI symptom checker that asks adaptive follow-up questions and tells you what level of care you need.
HIPAA SmartChat Assistant
Build a HIPAA-compliant healthcare AI agent for patient intake, triage, scheduling, and follow-up
Tools that pair well with Rad AI
Common stack mates teams adopt alongside Rad AI, with the specific reason each pairing earns its keep.
Docus
Docus turns raw lab results into AI clinical interpretations, patient-friendly reports, and follow-up workflows for diagnostic labs.
Ada Health
Ada is a free AI symptom checker that asks adaptive follow-up questions and tells you what level of care you need.
HIPAA SmartChat Assistant
Build a HIPAA-compliant healthcare AI agent for patient intake, triage, scheduling, and follow-up
Rad AI vs its closest rival
Rad AI's closest head-to-head is with Isomorphic Labs.
Our Rad AI vs Isomorphic Labs verdict written Jul 3, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
Frequently asked questions
For makers of Rad AI
- Get a Verified Listing for Rad AI ($39): a written decision within 1 working day.
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