Echo reports, dictated naturally. Structured by an AI that checks its work.

EchoAI turns free-form echocardiography dictation into a complete, ASE 2025-conformant report — and when something is ambiguous or the numbers don't add up, it asks you instead of guessing.

Request early access Open the app

Closed beta — we're onboarding testers now. Email admin@aiechoreport.com for an invite.

$Three parts of the EchoAI workflow layered together. Behind: the dictation panel mid-recording, its transcript reading that the ejection fraction is 60%, no, change that, it is actually 45%, with regional wall motion abnormalities. Over it: a report row giving LVEF a value of 45% against a normal range of 52 to 72 for men and 54 to 74 for women. And a 17-segment bullseye map with two hypokinetic segments and one akinetic segment marked.$

Three moments from the demo: the dictation, the ejection fraction landing in the report, and the wall motion it mapped along the way. Actual platform output, edited excerpts.

See it in action

Watch the demo

One minute: a study dictated in the order it was read, rearranged into a complete ASE 2025 report.

Read in your own order. The report comes out in the guideline's.
One minute, narrated — captions are on screen, so it plays with the sound off.

How it works

Three steps from dictation to report

Dictate

Type or speak — on your phone or desktop, in your own words.

Review

The AI fills every section, asks focused questions, and flags inconsistencies — like an RVSP that contradicts the TR jet.

Report

Copy the finished report into your reporting system, or export a letterhead PDF.

Why it's different

Built to catch what a template can't

It asks instead of guessing

Ambiguous valve? Unnamed chamber? You get a focused question with suggested answers.

It does the math

RVSP vs TR jet, AS severity vs gradients and valve area, EF number vs grade: discrepancies are flagged, never buried.

Nothing you say is dropped

Every dictated finding lands in the report or is explicitly shown as excluded.

ASE 2025 native

Grading, terminology, and report structure follow the current guideline (JASE 2025;38:735-774).

Free LABs

Two guideline engines from EchoAI, free in your browser

Each LAB is an engine from inside the EchoAI report, opened up as a tool of its own. No account, no install, and nothing you enter leaves your browser.

Diastolic LAB ASE 2025

The same engine that grades inside the report. One implementation of the ASE 2025 guideline, not a simplified copy of it.
It tells you what to measure next. Enter what you have, and it names the acquisition that gets you to an answer for the least scanning.
It shows where the study sits on Figure 3. The box you are in, and the route that got you there.

Open the Diastolic LAB →

Prosthetic Valve LAB ASE 2024

Aortic, mitral, tricuspid and pulmonic prostheses. Figure 13 and Tables 5, 7, 11, 15 and 19 — the engine the report uses.
Stenosis, mismatch or high flow. The DVI, the jet contour and the indexed EOA, with the valve’s own reference EOA from the appendix.
It says what would settle it. The next measurement, and Figure 13 with the route lit and the boxes ruled out.

Open the Prosthetic Valve LAB →

Built for an iPad at the echo machine, and they work just as well on a desktop. Decision support, not a medical device.

Privacy by design

No patient information enters EchoAI. Patient name, DOB and MRN stay on your device only — dictations contain findings, not identities. Your dictation is processed to build the report and is not used to train AI models.

FAQ

Frequently asked questions

Do I enter patient information?

No — findings only. Identity fields (name, DOB, MRN) never leave your browser.

How does the report get into my EMR?

Copy-paste in seconds, or PDF export. Direct integrations are on the roadmap.

Who is responsible for the report?

You. EchoAI is physician-in-the-loop decision support — every report is reviewed and signed by the interpreting physician. EchoAI is not a medical device.

Which guidelines?

ASE 2025 reporting standardization (JASE 2025;38:735-774).