Radiological.ai
How it works
Radiology AI platform AI radiology assistant AI for radiologists Teleradiology software AI chest X-ray AI CT scan analysis Structured reporting Worklist prioritization See all →
Best AI radiology software All radiology AI alternatives → Aidoc alternative Rad AI alternative Annalise.ai alternative Nuance PowerScribe alternative Qure.ai alternative Viz.ai alternative Nuance DAX alternative Lunit alternative Gleamer alternative PowerScribe One vs 360 Sirona Medical alternative RapidAI alternative Nuance alternative PowerScribe pricing PowerScribe templates
Pricing Blog

Reporting & worklist · Radiology dictation software

Radiology dictation software and AI voice assistant that drafts before you dictate

The short answer

Radiology dictation software turns a radiologist's speech into the report text, using speech recognition tuned to radiology vocabulary and connected to structured templates and macros. An AI voice assistant adds a step in front of it: the structured report is drafted before you open your mouth, so dictation becomes correcting and adding rather than composing from an empty Findings section. Radiological.ai drafts the report, flags suspected findings and prioritizes the worklist as decision support. It makes no diagnosis, publishes no accuracy figures, and the radiologist edits and signs every report.

Dictation turned typing into talking, but it still starts from an empty report. You read the study, then dictate every section from scratch, the Technique line, the normal phrasing, the structure, before you reach the part that actually needs your judgment.

Radiological.ai changes where dictation begins. It drafts the structured report into your template first, then you dictate over a draft rather than into a blank box, correcting and adding the clinical detail by voice. The assistant also flags suspected findings for review and prioritizes the worklist, so the read is supported before you ever start speaking. It is decision support, not a diagnosis, and the radiologist reviews, edits and signs every report.

Last updated July 2026

The Reading Station

Worklist

SERIES 1 · AX
SLICE 24/64
SAMPLE STUDY
NOT FOR DIAGNOSTIC USE
W 80 · L 40
ILLUSTRATIVE SAMPLE

Structured report

Draft

Run the assistant to draft this report for review.

You review & sign

Illustrative sample · not a real patient study, not a diagnosis

Drafted in · you review & sign Worklist re-prioritized

Decision support for qualified clinicians. Radiological.ai does not provide a diagnosis and is not a substitute for professional judgment.

Run the assistant

Flag · prioritize · draft · you review and sign

X-RAY CT MRI BUILT WITH RADIOLOGISTS

Decision support not a diagnosis

You review & sign

Dictation is one half of a reporting stack. The other half is the template the words land in, which is why this page sits next to radiology reporting software and the wider AI radiology reporting workflow. Groups replacing an aging platform usually arrive here from the same place, and the honest read on that market is our PowerScribe alternative comparison.

If your group is on PowerScribe 360 specifically, the commercial clock matters more than the feature list right now: renewals ended in August 2026 and full support ends in August 2027. The dates and the decision are laid out in PowerScribe One vs 360 and the migration checklist.

Why it works

What your group gets with radiology dictation software

Dictate over a draft

The structured report is drafted into your template before you speak, so dictation becomes review and correction rather than composing every section from a blank page.

Less to say, faster to sign

With the boilerplate already drafted, you dictate only the findings and judgment that matter, which shortens the time from read to signed report.

More than dictation

The same assistant flags suspected findings and prioritizes the worklist, so the support starts at the queue, not just at the microphone.

What it handles

Flagged, prioritized and drafted for your review

The assistant pre-reads each study, surfaces a region of interest for review, re-prioritizes the worklist, and drafts the structured report in your template. You confirm, edit and sign.

  • Drafts the structured report before you dictate
  • Lets you dictate over a draft, not a blank box
  • Populates Exam, Technique, Findings and Impression
  • Keeps your existing macros, templates and normals
  • Flags findings and prioritizes the worklist too
  • Radiologist edits and signs every report
RADIOLOGY DICTATION SOFTWARE STAT

Region of interest flagged for review

A focal region is surfaced on the sample study for the radiologist to review. The assistant does not characterize it as a diagnosis.

Draft impression

Suspected finding flagged for radiologist review. Correlate clinically and confirm. Draft for review and sign-off.

Illustrative sample · not for diagnostic use You review & sign

Why Radiological.ai

One assistant across the whole read

Not three vendors stitched together. Flag, prioritize and draft in one calm pane, on X-ray, CT and MRI, with the radiologist signing every study.

Flags suspected findings

A second set of eyes surfaces regions of interest for review on every study, so a suspected finding is less likely to slip past late in a shift.

Prioritizes the worklist

Suspected-critical studies move to the top, so urgent reads surface ahead of routine follow-ups across your sites and shifts.

Drafts the report

A structured draft arrives in your template, ready to edit and sign. The draft saves the typing and the measuring, never the judgment.

Good questions

Questions about radiology dictation software

It is speech recognition built for the radiology read: it converts spoken findings into report text using a vocabulary trained on radiology terminology, drops the text into structured templates, and supports voice macros for normal reports and standard phrasing. It usually connects to the RIS or reporting platform so the signed report flows back without retyping. The general-purpose speech recognition on your phone is doing a much easier job.
Dictation transcribes what you say. An AI voice assistant works before and around that: it drafts the structured report from the study first, so what you dictate is corrections and clinical judgment rather than every section of an empty template, and it can act on spoken instructions inside the report. The distinction matters commercially because the two are often sold as one product and priced as one product, while only one of them changes how long the report takes.
It is designed to fit your reading workflow and structured templates and to draft the report first, so dictation becomes editing a draft rather than composing from scratch. It is decision support, and the responsible radiologist reviews, edits and signs every report.
Because the structured report arrives pre-populated in your template, you dictate over a draft and only speak the findings and judgment that matter, instead of dictating every section of an empty report. You review and sign the final report.
Modern cloud speech recognition in radiology has largely moved away from the per-user profile training that older on-premises systems required, which is one of the practical differences vendors point to when they move customers to a cloud platform. What still varies between products is how well they handle accents, background noise in a shared reading room, and the specific vocabulary your subspecialty uses. Test that with your own radiologists rather than with the vendor's demo script.
Four things decide whether the product survives the first year. Whether your existing macros, templates and normals migrate or get rebuilt by hand. Whether the recognition runs in the cloud or locally, and what that means for your security review. What happens to report text if the network drops mid-dictation. And what the subscription does at renewal in year three, since nobody in this category publishes list pricing and the year-one number is rarely the number that matters.
The reporting platform normally connects to the RIS over HL7 for orders and signed reports, and to the PACS for study context so the right report opens with the right study. That plumbing is standard and rarely the problem. The problem is usually the second interface nobody scoped: the one that carries priority, addenda or critical results back, which often belongs to a different vendor and a different line item.
No draft is safe to sign unread, and the workflow is built on that assumption. The draft is a starting document containing structure and descriptive language, not a conclusion. Radiological.ai makes no diagnosis and publishes no accuracy figures, the radiologist reads the study independently of the draft, edits every line that is wrong, and takes full responsibility for the signed report.
Read every AI radiology question

Explore more

More ways teams read with Radiological.ai

Radiology report generator

Start every report from a draft, not a blank page.

Learn more

AI radiology reporting software

Reporting that drafts itself while you read.

Learn more

Structured radiology reporting software

Consistent, structured reports across your whole group.

Learn more
See every radiology use case See radiology AI pricing Back to the AI radiology assistant

From the blog: best AI radiology software in 2026, how much radiology AI costs, how to implement AI in a radiology workflow, and AI radiology companies.

Read more studies, with the assistant alongside you

Flag suspected findings, prioritize the worklist, and draft the structured report. You review and sign every study.

See pricing

Radiological.ai is a workflow and decision-support tool for qualified clinicians. It does not provide a diagnosis and is not a substitute for professional medical judgment.