AI-augmented ECG for pre-echocardiography triage: a tool to optimize cardiac imaging utilization
Abhyuday Kumara Swamy, Deepak Krishnan, Pranay Narhari Umredkar, Aditya HN, Santhosh Rathnam Palani, Vivek Rajagopal, Pradeep Narayan, Deepak Padmanabhan · 2026
Read AI-augmented ECG for pre-echocardiography triage: a tool to optimize cardiac imaging utilization by Abhyuday Kumara Swamy, Deepak Krishnan, Pranay Narhari Umredkar, Aditya HN, Santhosh Rathnam Palani, Vivek Rajagopal, Pradeep Narayan, Deepak Padmanabhan (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13267140.txt.
Description
Abhyuday Kumara Swamy and colleagues report a 2026 study of an AI tool that reads heart tracings to sort referrals. Heart ultrasound scans are often ordered when the need is unclear, adding cost and delay. The tool uses standard 12-lead ECG images to flag major heart problems before a scan is booked.
The team trained three deep learning models on tracings and same-day scans from over 51,000 patients at one heart center. In testing, the tool separated patients with and without major findings well, and a negative result was right about 95 percent of the time. A check on over 20,000 patients elsewhere held up well. The authors offer it as a triage aid.
Catalog record
| CREATOR | Abhyuday Kumara Swamy, Deepak Krishnan, Pranay Narhari Umredkar, Aditya HN, Santhosh Rathnam Palani, Vivek Rajagopal, Pradeep Narayan, Deepak Padmanabhan |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 47279 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |