Using AI technology to support ADHD diagnosis Professor Grigoris Antoniou
NHS waiting lists for adults with ADHD (Attention Deficit Hyperactivity Disorder) continue to grow. People awaiting assessment and treatment can suffer from health, relationship and work problems. Delays in diagnosis are due to current NHS practices which require a full assessment by specialist clinicians, increased awareness of the condition and financial pressures.
Using technology to automate diagnosis Researchers at the University of Huddersfield have developed automated reasoning techniques to deal with imperfect information, which are being applied to the diagnosis of ADHD in adults. The new technology identifies clear-cut cases that can be assessed automatically, enabling timely assessments with positive benefits on patients and NHS waiting lists. Working with the NHS Professor Grigoris Antoniou researches the area of nonmonotonic reasoning, a family of automated reasoning approaches within knowledge representation (KR), where the knowledge being manipulated can be inconsistent or incomplete. research.hud.ac.uk
Prior to working with the NHS on using Artificial Intelligence (AI) to diagnose ADHD, he worked with the South-West Yorkshire Partnership NHS Foundation Trust (SWYPFT) in the area of mental health, with an initial focus on automatic risk assessment of suicide. Following the success of this project, a new collaboration was initiated on the diagnosis of ADHD in adults, funded by SWYPFT and Research England through Grow MedTech. Professor Antoniou adapted the methodology for this project working together with clinical experts and Dr Tianhua Chen performed the analysis of data from past cases of ADHD diagnosis using machine learning with a predictive accuracy of diagnostic outcome of around 90%.
