Technical University of Denmark
The other day I gave a talk at the Artificial Intelligence in Healthcare: Advancing Patient Outcomes and Responsible Governance conference in Copenhagen. This conference was organized by the Danish Society of Engineers and the Danish Society for Healthcare Quality and enrolled a series of super interesting speakers who provided detailed insight into the state-of-the-art AI in Healthcare in Denmark.
Continue reading “10+ Years of AI in Mental Health”
The Copenhagen Center for Health Technology located at the Technical University of Denmark has an opening for a fully funded PhD scholarship within digital phenotyping for comorbid mental health.
Continue reading “PhD Scholarship in Digital Phenotyping for Comorbid Mental Health”
I’ve recently been putting together a description of my recent research in mental health. My interest in mental health dates back to the MONARCA project, which has led to a number of interesting results since, especially driven by the data that is still being collected, analysed, and published mainly by Maria Faurholt-Jepsen and Lars V. Kessing.
Now we have been researching the 2nd generation of mHealth technology for mental health as part of the RADMIS project. This has focused on the design of Behavioral Activation Technology, which supports therapeutic support for depressive patients. These technologies show promising results in terms of supporting intervention in mental health and has – in a non-randomized clinical trial – shown a reduction in depressive symptoms.
Behavioral activation is a 3rd generation behavior therapy for treating depression. We have built two different smartphone-based technologies supporting behavioral activation; MORIBUS and MUBS. MORIBUS is an app for patients to plan and track healthy activities designed to be part of BA therapy with a trained therapist, while MUBS utilizes machine learning techniques for recommending healthy activities to patients and is designed to be used stand-alone outside therapy.
Continue reading “Behavioral Activation Technology”
According to WHO, depression is becoming a leading cause of disability. The aim of the “Reducing the rate and duration of readmission among patients with unipolar and bipolar disorder using smartphone-based monitoring and treatment” (RADMIS) project is to design smartphone-based monitoring and treatment technology for depressive patients. The clinical goal is to establish the efficacy of this technology by measuring hospital re-admission and clinical outcome.
Continue reading “RADMIS – Smartphone-based Monitoring and Treatment of Mental Disorders”
Together with Aleksandar Matic, I recently made an overview of the different Ubicomp technologies for mental health, which has been done over the last decade. The paper has just been published in the IEEE Pervasive Computing Magazine. But unfortunately, the supplementary material with references to all the 46 systems is missing. You can access this here.
Continue reading “A Decade of Ubiquitous Computing Research in Mental Health”
The MONARCA project was an EU FP7 STREP project (2010–14) involving 13 partners, including the IT University of Copenhagen and the Psychiatric Center Copenhagen (‘Rigshospitalet’) . The goal was to;
“…develop and validate solutions for multi-parametric, long term monitoring of behavioural and physiological information for bipolar disorder”