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current autism screeningPsyPost
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82% Informative
A new machine-learning model predicts autism spectrum disorder in young children using limited information, with nearly 80% accuracy for children under two years old .
Researchers at the Karolinska Institutet in Sweden aimed to develop a more accessible, accurate tool that could identify autism risk using readily available medical and developmental data.
This early detection could open doors to timely intervention and better developmental support, ultimately improving outcomes for children with autism and their families.
AutMedAI is not meant to replace detailed clinical assessments but rather to serve as an initial screening tool.
By flagging children who may need further evaluation, the model could help ease the strain on diagnostic services.
Early intervention is especially important for children with autism, as targeted therapies and support systems can significantly improve long-term outcomes, particularly in communication and social skills.
VR Score
92
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66
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semi-formal
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English
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