Diagnosing attention deficit hyperactivity disorder (ADHD) in children can be challenging due to subjective interviews and biases. However, virtual reality (VR) and machine learning, combined with artificial intelligence (AI), offer a potential solution to overcome these obstacles and improve the accuracy of ADHD diagnosis. In 2020, Universitas Indonesia and Dr Cipto Mangunkusumo General Hospital in Jakarta developed an ADHD virtual reality diagnostic tool that utilizes machine learning. The tool places patients in a virtual classroom, which replicates one of the most challenging environments for children with ADHD, allowing doctors to assess their ability to focus, pay attention, and listen. By observing their behavior and responses, doctors can make a more accurate diagnosis of ADHD.
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