
Rad AI
radai.com
AI that speeds radiology reporting and follow-up.
Quick Information
- Category:
- Healthcare
- Pricing:
- Contact Sales
- Platforms:
- Web, Voice recognition integrations, PACS and RIS integrations
- Free Plan:
- No
- Last Verified:
- October 2026
What Is Rad AI?
Rad AI builds AI tools that speed up radiology reporting and follow-up. It sells three products: Reporting, Impressions and Continuity. Impressions automatically writes the impression section from the radiologist's dictated findings and works inside existing voice recognition software. Vendor-cited claims say it saves a median of more than 60 minutes per shift and catches errors in roughly 5% of reports. Reporting uses generative AI to draft radiology reports from clinical data and cut manual dictation, and Continuity helps close the loop on follow-up recommendations.
Continuity is pitched on return on investment. A public calculator lets a buyer enter report volume, the share of reports with follow-up recommendations (about 15% by default) and reimbursement per study of $50 to $250, then projects extra revenue from better follow-up. One sample setup returns an $8.4 million opportunity, but that is a marketing example, not a promise. Pricing is entirely sales-led, with no public price list, and contract value depends on the products chosen, number of radiologists and report volume. Most feature details come from the company and directory listings, with little independent pricing data.
Rad AI fits radiology groups and hospital departments that want to save dictation time and improve follow-up compliance. For triage-focused imaging AI, compare Aidoc and Lunit. Browse more in the Healthcare tools directory.
What Can You Use Rad AI For?
Report impressions
Auto-generates impressions from dictated findings.
Report drafting
Drafts radiology reports from clinical data.
Follow-up tracking
Continuity helps ensure follow-up recommendations are acted on.
Rad AI Features
- Impressions — Generates the impression section inside existing voice recognition software.
- Reporting — Generative AI report drafting that aims to reduce dictation time.
- Continuity — Follow-up recommendation tracking with an ROI calculator.
- Workflow integration — Designed to work within the tools radiologists already use.
Who Is Rad AI For?
- Radiologists — Want to reduce dictation and reporting time.
- Radiology practices and hospitals — Want better follow-up compliance and revenue capture.
Rad AI Pros & Limitations
What We Like
- Targets a clear pain point: report writing time
- Works inside existing voice recognition software
- Three products that cover reporting and follow-up
Limitations
- Time-saving and error figures are vendor-cited
- No public pricing
- ROI calculator results are marketing examples
Rad AI Pricing
| Plan | Price | Main Features |
|---|---|---|
| Reporting, Impressions, Continuity | Custom quote per product | Priced by products, radiologist count and report volume |
Pricing was last verified October 2026. Check the official website for the latest pricing.
AI Listing Jungle Ranking
- Global Rank:
- #375
- Overall Score:
- 69.2/100
- Monthly Users:
- –
- Rank Change:
- ▼ 106
This ranking reflects AI Listing Jungle's own independent scoring methodology and is not an endorsement by Rad AI or its company. How Our Rankings Work
Frequently Asked Questions
What does Rad AI do?
It uses AI to write report impressions, draft radiology reports and track follow-up recommendations.
What are Rad AI's products?
Reporting, Impressions and Continuity.
How much does Rad AI cost?
Pricing is sales-led with no public list, based on products, radiologists and report volume.
How much time does Impressions save?
The vendor cites a median of 60+ minutes per shift, which is a company claim.
Our Take
Rad AI goes after the daily grind of reporting, and its integration inside existing dictation tools lowers the adoption barrier.
Validate the time-saving claims with a pilot on your own report volume.
Rad AI Alternatives
Rad AI Comparisons
Ready to try Rad AI?
Visit the official website to get started.
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