Het onderzoek verkent de mogelijkheden om de screening voor heupdysplasie uit te voeren bij de jeugdgezondheidszorg met ondersteuning met artificiële intelligentie (AI) bij de echo.
Interview
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https://www.nspoh.nl/actueel/innovatieve-ai-toepassing-helpt-jeugdarts-bij-opsporen-heupdysplasie/
Abstract
Objectives
To investigate whether adding an artificial intelligence-assisted hip ultrasound (CHC-US) to the selective screening for developmental dysplasia of the hip (DDH) at Child Health Care (CHC) centers can reduce the number of referrals for hip ultrasound without an increase of missed cases.
Methods
We conducted a cross-sectional diagnostic study at four CHC centers in the Netherlands between May 2022 and December 2022. All participating infants received both a CHC-US and a Hospital-US. The results of both ultrasounds (US) were analysed to evaluate the diagnostic performance of the CHC-US. Descriptive statistics, frequencies, and linear weighted Cohen’s Kappa were used for statistical analysis.
Results
Data from 105 infants (210 hips) were included. In 59 infants (56.2 %) both hips were classified as not
having DDH according to the CHC-US, of which two hips were diagnosed with DDH according to the Hospital-US. However, re-evaluation of the Hospital-US images showed no DDH in both cases.
Conclusions
This study demonstrates that CHC-US in selective screening of DDH could reduce the number of hip US referrals by approximately half. CHC-US can be performed by a CHC physician, making integration of US into routine infant welfare visits at CHC-centers feasible
Publicatie
Dit onderzoek is verschenen in Computer Methods and Programs in Biomedicine.
MMR Verhoeven, WM Klein, W de Monye, F Kersten, LJ Smit, ELM Ruiter, CL de Korte, TLA van den Heuvel.
Artificial intelligence assisted ultrasound for selective screening of hip dysplasia at children’s health care centers in the Netherlands.
Computer Methods and Programs in Biomedicine, 2025; 272(dec): 109047.