Diagnosing attention deficit hyperactivity disorder (ADHD) in children can be challenging due to the reliance on subjective interviews. However, virtual reality (VR) and machine learning linked to artificial intelligence (AI) offer a potential solution to improve the accuracy of ADHD diagnoses. By creating a safe digital environment that mimics a child’s daily living situation, VR allows for the collection of more accurate behavioral data. Additionally, machine learning can enhance the power of VR by refining and improving the accuracy of diagnoses. In 2020, Universitas Indonesia and Dr Cipto Mangunkusumo General Hospital established an ADHD virtual reality diagnostic tool supported by machine learning. The tool places patients in a virtual classroom, which is a challenging environment for children with ADHD. By replicating real-life classroom experiences, the tool can accurately assess a child’s behavior and symptoms.
Add to Favourites
To login click here