Adapting vision–language AI models to cardiology tasks
Vision–language models can be trained to read cardiac ultrasound images with implications for improving clinical workflows, but additional development and validation will be required before such models can replace humans.
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| Veröffentlicht in: | Nature medicine 2024-05, Vol.30 (5), p.1245-1246 |
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| Format: | Artikel |
| Sprache: | eng |
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| Online-Zugang: | Volltext |
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| Zusammenfassung: | Vision–language models can be trained to read cardiac ultrasound images with implications for improving clinical workflows, but additional development and validation will be required before such models can replace humans. |
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| ISSN: | 1078-8956 1546-170X 1546-170X |
| DOI: | 10.1038/s41591-024-02956-1 |