The growing influence of subjective interviews has posed challenges for doctors aiming to make accurate ADHD diagnoses, particularly in children.
The involvement of parents can introduce bias, affecting responses and diagnostic accuracy.
Current ADHD diagnoses often involve observations, interviews, and sometimes brain-related psychiatric testing.
To address these challenges, innovative technologies like virtual reality (VR) and machine learning linked to artificial intelligence (AI) have emerged as promising diagnostic tools.
It allows for the collection of better behavioral data compared to conventional testing.
Virtual reality has shown promise as a diagnostic tool for ADHD, creating a safe digital environment resembling a child's daily life.
This tool uses machine learning to enhance the diagnosis procedure. Patients in the study were immersed in a virtual classroom, a challenging environment for children with ADHD.
An example of this technology is the ADHD virtual reality diagnostic tool established by Universitas Indonesia and Dr. Cipto Mangunkusumo General Hospital in Jakarta.
The diagnostic tool is essentially a virtual reality game that assesses ADHD symptoms based on how a child behaves within this environment.
Replicating a real-life classroom environment triggers responses similar to actual classroom interactions.