A Hybrid Artificial Intelligence Approach for Down Syndrome Risk Prediction in First Trimester Screening

A Hybrid Artificial Intelligence Approach for Down Syndrome Risk Prediction in First Trimester Screening

<b>Background/Objectives:</b> The aim of this study is to develop a hybrid artificial intelligence (AI) approach to improve the accuracy, efficiency, and reliability of Down Syndrome (DS) risk prediction during first trimester prenatal screening. The proposed method transforms one-dimens...

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Bibliographic Details
Main Authors: Emre Yalçın, Serpil Aslan, Mesut Toğaçar, Süleyman Cansun Demir
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Diagnostics
Subjects:
Down syndrome
first trimester prenatal screening
artificial intelligence
risk assessment
feature extraction
Online Access:https://www.mdpi.com/2075-4418/15/12/1444
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