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HealthAratus Intelligence

Anumana

Anumana
Anumana Intelligence Room

Anumana Intelligence

What the accumulated evidence, deployment record and lived experience actually show.

Intelligence lenses

Four ways of interrogating the same reality. Each changes the question, not the subject.

Do published findings about Anumana match what happens in practice?

  • Public evidence

    Anumana Receives U.S. FDA Breakthrough Device Designation for its Cardiac Amyloidosis Algorithm

    SignalHunt:validation:Anumana

  • Public evidence

    Anumana Announces Issuance of New American Medical Association CPT® Category III Codes for Novel ECG AI Analysis of Cardiac Dysfunction

    SignalHunt:validation:Anumana

  • Public evidence

    Anumana is advancing early detection of cardiovascular disease by embedding clinically validated AI directly into routine ECG workflows, supporting decision-making from primary care through cardiac subspecialty settings.

    SignalHunt:validation:Anumana

  • Public evidence

    Anumana and Pfizer Partner to Enable Early Detection of Underdiagnosed Cardiovascular Disease

    SignalHunt:validation:Anumana

  • Public evidence

    Anumana Receives First and Only FDA Clearance for ECG-AI Cardiac Amyloidosis Algorithm Using a Standard 12-Lead ECG

    SignalHunt:validation:Anumana

What we know · what we don’t

Everything here is open to being corrected by someone who has seen it first-hand.

What we still don’t know

Nobody has answered these yet. Your experience can help us understand what is happening.

Unresolved

We still don’t know whether anyone at this organisation has actually used this technology — zero lived-experience observations exist.

Not yet answered

What are we missing?

Matters of record

Settled elsewhere. Context for reading the above, not something practice can confirm.

  • 8 public external signal(s) across 2 source(s).Recorded by HealthAratus

Tool intelligence

What HealthAratus understands

HealthAratus currently understands Anumana through regulatory records, a published study, company records and external market activity.

Category
imaging_diagnostics

What HealthAratus is still learning

HealthAratus is beginning to understand Anumana. As evidence and experience accumulate, what remains unclear will be stated here.

Evidence & claims

What this is built on

The material the questions above were built from, with its attribution.

Anumana is an AI-powered software that analyzes standard 12-lead ECG data. It identifies signs of low ejection fraction in patients during routine cardiovascular screenings.According to Anumana

What Anumana states

The vendor’s own claims. Testable where practice can actually test them.

Stated capability

The ECG-AI LEF algorithm identifies low ejection fraction from standard 12-lead ECG data.

According to Anumana

Does this change your workflow?

Independent and public evidence

Found in public sources. Not a clinician’s experience, and never presented as one.

Reported deployment

Anumana and Pfizer Partner to Enable Early Detection of Underdiagnosed Cardiovascular Disease

Reported publicly

How widely is this actually used?

Reported deployment

Anumana Announces Issuance of New American Medical Association CPT® Category III Codes for Novel ECG AI Analysis of Cardiac Dysfunction

Reported publicly

How widely is this actually used?

Reported outcome

Anumana is advancing early detection of cardiovascular disease by embedding clinically validated AI directly into routine ECG workflows, supporting decision-making from primary care through cardiac subspecialty settings.

Reported publicly

Are you seeing this result?

Recent change

Anumana Receives U.S. FDA Breakthrough Device Designation for its Cardiac Amyloidosis Algorithm

Reported publicly

Have you noticed this shift?

Recent change

Anumana Receives First and Only FDA Clearance for ECG-AI Cardiac Amyloidosis Algorithm Using a Standard 12-Lead ECG

Reported publicly

A matter of record — context, not something practice can confirm.

Company participation

Not yet verified

A record of the reality forming around this technology already exists. No representative of the company has verified participation yet.

Claim your company profile

Reference

The stable facts, for interpreting everything above.

Overview

What it does

Anumana is an AI-driven health technology company founded in 2021 through a partnership between nference and Mayo Clinic. The company focuses on developing software-as-a-medical-device (SaMD) solutions that leverage artificial intelligence to enhance cardiovascular care. Their flagship product, ECG-AI™ LEF, is…

Vendor & external product information, not independently verified by HealthAratus

Where it's used

Deployed in mixed settings, US, Europe

Key strength

Regulatory: FDA 510(k) cleared, FDA Breakthrough Device designation

Key capabilities

ECG-based AI detection of low ejection fraction (LEF), Clinical validation in diverse patient populations, Integration with existing ECG systems

Clinical use cases

Early detection of heart failure through LEF identification, Integration of AI-driven diagnostics into primary care workflows, Enhancement of cardiovascular disease detection in outpatient clinics

Who uses it

Cardiologists, Electrophysiologists, Primary care clinicians

Parent Company
Anumanavendor
1 tracked tool

How the reality here has changed

Not enough recorded activity across time yet to describe how the reality here has moved. As accounts of Anumana accumulate, this becomes a record of how the reality moved rather than a snapshot of one moment.

Across the category

Anumana against the rest of Imaging & Diagnostics

Category intelligence reads this as Established. A sample of peers, not a census of the category.

Where Anumana may differ

Differences in what we have recorded. Never a ranking, never a quality judgement.

  • No first-hand account has been recorded for Anumana or for any peer we sampled in this category.

    A gap across the whole category, not a fact about this technology.

Two readings that disagree

  • Category intelligence reads clinical reality here as "Expanding", yet no first-hand account appears in the systems we sampled. Both readings are shown rather than reconciled.

Used another system in Imaging & Diagnostics? How does your experience compare?

A comparison across two systems tests the category, not just one product.

See the whole Imaging & Diagnostics record

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