Heart failure & cardiomyopathies
2-Dimensional Echocardiographic Global Longitudinal Strain With Artificial Intelligence Using Open Data From a UK-Wide Collaborative
Authors' conclusion
Our open-source approach to calculating GLS agrees with experts' consensus as strongly as the individual expert measurements and proprietary machine solutions.
Study context
- Population
- Apical 4-, 2- and 3-chamber echocardiographic images; external validation on 100 echocardiograms (Unity UK Echocardiography AI Collaborative)
- Participants
- 100 echocardiograms
- Comparison
- Open machine-learning global longitudinal strain (GLS) (Unity-GLS) vs individual experts and 2 proprietary packages
- Outcome
- Agreement of GLS with multiexpert consensus measurement
Methodological detailsexternal validation, multiexpert consensus reference
- External validation
- Multiexpert consensus reference
Performance
As reported in the abstract
Agreement with expert consensus GLS
| Test or model | Median absolute error | Correlation with consensus | Error |
|---|---|---|---|
| Individual experts | 2.00 GLS units | 0.85 | |
| Unity-GLS | 0.91 | 1.3 | |
| Proprietary A | 0.73 | 2.5 | |
| Proprietary B | 0.79 | 2.2 |
Median absolute error
Individual experts2.00 GLS units
Unity-GLS— not stated in the abstract
Proprietary A— not stated in the abstract
Proprietary B— not stated in the abstract
Correlation with consensus
Individual experts0.85
Unity-GLS0.91
Proprietary A0.73
Proprietary B0.79
Error
Individual experts— not stated in the abstract
Unity-GLS1.3
Proprietary A2.5
Proprietary B2.2
Further findings
| Outcome | Individual experts | Unity-GLS | Proprietary A | Proprietary B |
|---|---|---|---|---|
| Median GLS across 11 experts | median −16.1 (IQR −19.3–-12.5) | — not stated in the abstract | — not stated in the abstract | — not stated in the abstract |
| Rank correlation with multiexpert visual ranking | median rank correlation 0.72 | 0.77 | 0.70 | 0.74 |
— not stated in the abstract
Original publication
2-Dimensional Echocardiographic Global Longitudinal Strain With Artificial Intelligence Using Open Data From a UK-Wide Collaborative. JACC Cardiovasc Imaging. Published 10 July 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →