# AI ECG Findings Interpreter (Text Input)
> Paste your ECG findings (rate, rhythm, axis, intervals, ST/T changes). The interpreter returns a structured framework + associated diagnoses + can't-miss patterns + sources to verify. Education only.

## Overview

The ECG Findings Interpreter takes written ECG findings — rate, rhythm, axis, intervals, ST/T changes, conduction abnormalities — and returns a structured interpretation framework, the diagnoses commonly associated with the described pattern, the must-not-miss patterns (STEMI, Wellens, Brugada, posterior MI), and the sources (ACC/AHA, ESC, LITFL ECG library) the clinician should open to verify. The tool does not read ECG images and is not a substitute for cardiology consultation; it organises clinician-typed findings into a teaching-first framework.

## Who this is for

- Medical students learning ECG interpretation
- Internal medicine residents on call
- Hospitalists organising overnight ECG findings

## Cited source

**ACC / AHA / ESC ECG interpretation references** (2024) — ACC / AHA / ESC / LITFL

_Primary publication:_ Surawicz B et al., Circulation 2009 (ECG standardization)

## FAQs

### Does this read ECG images?

No. The tool takes the clinician's written description (rate, rhythm, axis, intervals, ST/T changes). Computerised ECG interpretation requires the actual tracing.

### Will it tell me whether to activate the cath lab?

No. The tool flags must-not-miss patterns and points to the relevant guideline. Activation decisions are clinical and protocol-driven.

### Is it useful for teaching?

Yes — it forces a structured framework (rate/rhythm/axis/intervals/ST-T/conduction) and names patterns to verify, which is well-suited to learner discussion.

### Are paediatric ECGs supported?

Adult conventions dominate the output. For paediatric ECGs, age-specific normal values apply; consult paediatric references.

### What if my findings are minimal?

Minimal findings still produce a structured interpretation; the tool will state that no specific pattern emerges and prompt to revisit if symptoms or serial tracings change.

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_Rounds AI is a citation-first clinical AI assistant. It supports clinical reasoning by surfacing cited information and is not a substitute for independent clinical judgement._