The role of cognitive functions in the diagnosis of bipolar disorder: A machine learning model
We caught up with Ercan Altınöz, Associate Professor of Psychiatry at Eskişehir Osmangazi University School of Medicine in Eskişehir, Turkey, who told us how combining CANTAB® tasks with machine learning may help to improve diagnosis of bipolar disorder.
Using CANTAB to develop AI-based tools for the early detection of dementia
To mark World Alzheimer's Day, we hear from Christoffer Hatlestad-Hall and his team at Oslo University Hospital, who explain how CANTABTM is an instrumental part of their study using AI and machine learning to identify the earliest signs of Alzheimer's and dementia in people with mild cognitive impairment.
Vocalic Markers of Cognitive Load Derived from Automated Verbal Neuropsychological Assessment
The effort participants exert in order to complete a task provides the researcher with a rich understanding of their level of functioning. At AAIC 2019, we shared how to derive this cognitive load from voice recordings.
Automated voice-based testing as a potential recruitment tool in clinical trials
Automated voice-based testing: applications in recruitment of patients in clinical trials.