It often takes hours for a clinician to diagnose a child with autism, but a Harvard researcher now says it may be possible to complete an assessment that’s just as accurate within minutes.
Using a Web-based tool that relies on just seven questions and a short home video, Dennis Wall, a researcher at Harvard Medical School, says he can provide a near perfect assessment of whether or not a child has autism.
“We believe this approach will make it possible for more children to be accurately diagnosed during the early critical period when behavioral therapies are most effective,” Wall said.
In contrast, children are typically diagnosed through lengthy, clinical evaluations. One popular method known as the Autism Diagnostic Interview, Revised, relies on 93 questions.
The new method developed by Wall can cut diagnosis time by almost 95 percent, researchers said in a paper about the approach that was published Tuesday in the journal Nature Translational Psychiatry.
When tested against traditional methods in more than 1,000 cases, Wall says that his shortened diagnosis procedure achieved near perfect accuracy.
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