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Novel AI system could diagnose autism much ea

<p>A newly developed artificial intelligence (AI) system that analyzes specialized MRIs of the brain accurately diagnosed children between the ages of 24 and 48 months with autism at a 98.5% accuracy rate, according to research being presented next week at the <a href="https://www.rsna.org/annual-meeting">annual meeting</a> of the Radiological Society of North America (<a href="https://www.rsna.org/">RSNA</a>).</p>
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United States , Oak Brook , University Of Louisville , Mostafa Abdelrahim , Ahmed Elnakib , Andrew Switala , Ahmeds Shalaby , Mohamed Khudri , Ali Mahmoud , Mohamed Ali , Yaser El Nakieb , Gregoryn Barnes , Aymans El Baz , Radiological Society Of North America , Norton Children Autism Center , Community Report On Autism , Radiological Society , North America , Norton Children , Autism Center , Autism Brain Imaging Data , Sohail Contractor ,

New AI system achieves 98.5% accuracy in autism diagnosis

A newly developed artificial intelligence (AI) system that analyzes specialized MRIs of the brain accurately diagnosed children between the ages of 24 and 48 months with autism at a 98.5% accuracy rate, according to research being presented next week at the annual meeting of the Radiological Society of North America. ....

University Of Louisville , United States , Ahmeds Shalaby , Mohamed Ali , Ali Mahmoud , Aymans El Baz , Gregoryn Barnes , Andrew Switala , Mohamed Khudri , Ahmed Elnakib , Yaser El Nakieb , Mostafa Abdelrahim , Radiological Society Of North America , Norton Children Autism Center , Community Report On Autism , Radiological Society , North America , Norton Children , Autism Center , Autism Brain Imaging Data , Sohail Contractor , Artificial Intelligence ,