| Autor: |
Sarmiento, A., Rodriguez, N., Rodríguez, N., Arbeláez, P., Escobar, M.C., Castillo, A., Ramirez, N., Echeverry, L.M. |
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| Zdroj: |
Ultrasound in Obstetrics & Gynecology; Sep2024 Supplement 1, Vol. 64, p114-114, 1p |
| Abstrakt: |
This article discusses a study that compares the diagnostic performance of artificial intelligence (AI) versus trained specialists in the antenatal diagnosis of congenital heart disease. The study involved a group of trained specialists who were exposed to a set of training images simulating the AI model. The results showed that while the trained specialists had higher sensitivity levels, the AI model demonstrated higher specificity and a lower false positive rate. The authors conclude that incorporating an AI model can complement and enhance the detection capability of specialists in diagnosing congenital heart disease. [Extracted from the article] |
| Databáze: |
Complementary Index |
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