Akademik Veri Yönetim Sistemi
69th Annual Meeting of the American Academy of Child & Adolescent Psychiatry, Toronto, Kanada, 17 - 21 Ekim 2022, cilt.61, sa.10, ss.233-234
ADHD is a neuropsychiatric disorder that begins in childhood and is characterized by symptoms of inattention, hyperactivity, and impulsivity that are incompatible with the age of the person. When taking into consideration the differences in the causes and behavioral consequences of ADHD, there is no single test used to diagnose the disorder, and the clinician’s opinion is currently the most widely accepted diagnostic method. On the other hand, decision support systems currently greatly facilitate the diagnosis process of the clinician and play an active role in the decision process. The aim of this pilot study is to develop the newly web-based auditory-focused distractor continuous performance test (ad-CPT) to aid in the diagnosis of ADHD in children aged 6 to 12 years. The ad-CPT consists of 8 different stages of minor and major complexity, with different visual and/or auditory distractors, in addition to the basic level consisting of a target and nontarget sound sequence without any distractors. An artificial intelligence–based learning module was used in the development of ad-CPT in order to increase the predictive acuity and sensitivity. The ad-CPT has similar accuracy rates as MOXO d-CPT and IVA-2 CPT in diagnosing ADHD in children and adolescents (62 boys, 77.5%) aged 6 to 12 years (111.08 months ± 21.55). The ad-CPT developed within the scope of the study is important because it is the first program in which both auditory and visual distractors are used based on an auditory target stimulus. The newly ad-CPT emphasizes the importance of developing artificial intelligence–based decision support systems in the ADHD diagnosis process.Objectives
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