Machine Learning-Enabled POCT Readers: From Lateral-Flow Interpretation to Quantitative, Connected Diagnostics
<p>Machine learning (ML)-enabled point-of-care testing (POCT) readers are transforming rapid diagnostics by reducing subjectivity in visual interpretation, enabling quantification where appropriate, and extending results into connected clinical pathways. This framework-oriented narrative review and...
Guardado en:
| Autor principal: | |
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| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2026
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| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/1249430 |
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