Neuropsychiatric disorders pose a high societal cost, but their treatment is hindered by lack
of objective outcomes and fidelity metrics. AI technologies and specifically Natural …

Advances in machine learning and contactless sensors have given rise to ambient
intelligence—physical spaces that are sensitive and responsive to the presence of humans …

Online peer-to-peer support platforms enable conversations between millions of people who
seek and provide mental health support. If successful, web-based mental health …

To prevent the spread of COVID-19 and to continue responding to healthcare needs,
hospitals are rapidly adopting telehealth and other digital health tools to deliver care …

Speech emotion recognition (SER) as a Machine Learning (ML) problem continues to
garner a significant amount of research interest, especially in the affective computing …

Abstract Purpose of Review Artificial intelligence (AI) is often presented as a transformative
technology for clinical medicine even though the current technology maturity of AI is low. The …

With the growing prevalence of psychological interventions, it is vital to have measures
which rate the effectiveness of psychological care to assist in training, supervision, and …

The onset of the COVID-19 pandemic has brought the mental health of people under risk.
Social counselling has gained remarkable significance in this environment. Unlike general …

Background Automatic speech recognition (ASR) technology is increasingly being used for
transcription in clinical contexts. Although there are numerous transcription services using …

Psychiatry is rapidly adopting digital phenotyping and artificial intelligence/machine learning
tools to study mental illness based on tracking participants' locations, online activity, phone …