What Rad AI does
Rad AI offers AI-assisted radiology reporting, personalized impression generation, and Continuity workflows that identify, communicate, and track follow-up recommendations.
Rad AI addresses two linked radiology workloads: creating clear reports and ensuring that important follow-up recommendations do not disappear after the report is signed. Reporting features reduce repetitive dictation; Continuity turns documented recommendations into a trackable operational workflow.
Public materials direct organizations to request a demo rather than offering a universal price. Quotes can vary by radiologists, report volume, products, facilities, RIS, PACS and EHR integrations, implementation, messaging, support, and contract term. Buyers should confirm whether Reporting, Impressions, and Continuity are bundled or separate and how usage or expansion is priced.
Generated report text can omit a finding, preserve stale context, choose poor wording, or introduce an unsupported statement. Follow-up extraction can miss nuanced recommendations, classify timing incorrectly, or contact the wrong recipient. Neither workflow should silently finalize clinical content. Require radiologist signature, human ownership of unresolved follow-up, least-privilege integrations, audit trails, and sampled quality review.
How Rad AI works
A radiologist dictates findings inside a connected reporting workflow. Rad AI Reporting and Impressions use clinical language models and the radiologist's learned style or templates to structure report content, create an impression, carry forward eligible unchanged findings, and add configured guideline language. Continuity applies natural-language processing to finalized reports to identify and categorize follow-up recommendations, calculate dates, communicate with authorized recipients, and track completion. The radiologist reviews and signs every report, while designated staff validate recommendations, recipients, and closure.
How to set up Rad AI
Choose reporting or follow-up scope
Define products, modalities, report types, facilities, users, recommendation categories, recipients, timelines, and accountable clinical and operational owners.
Confirm quote and integrations
Document licenses, report volume, interfaces, implementation, messaging, support, service levels, update policy, and renewal or expansion costs.
Complete protected-data review
Assess the BAA, hosting, encryption, identity, audit logs, retention, model-improvement terms, vendors, patient communication, and deletion.
Pilot with representative cases
Test style variation, negation, prior findings, critical results, guideline language, ambiguous timing, amended reports, recipient matching, and interface failure.
Keep people in the loop
Require radiologist review and signature, assign follow-up queues, audit misses and false captures, provide downtime procedures, and revalidate updates.
Rad AI FAQs
What products does Rad AI offer?
Its current portfolio includes AI-assisted Reporting, personalized Impressions generation, and Continuity for detecting and managing radiology follow-up recommendations.
Does Rad AI sign reports automatically?
No. Official registry material says radiologists are expected to review and confirm AI-assisted reports before signing.
How much does Rad AI cost?
Organization pricing is quote-based. Confirm products, radiologists, report volume, facilities, integrations, implementation, messaging, support, and renewal terms.
Can Continuity guarantee patient follow-up?
No. It can identify, communicate, and track covered recommendations, but extraction, identity, delivery, scheduling, and patient-response failures still require human oversight.
Was Rad AI tested hands-on for this listing?
No. This is a documentation-based review of official reporting, impressions, Continuity, privacy, and workflow materials.
Listing reviewed 2026-08-11. Product details and pricing can change; verify important terms on the provider's website.
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