Automated detection of ADHD: Current trends and future perspective

HW Loh, CP Ooi, PD Barua, EE Palmer… - Computers in Biology …, 2022 - Elsevier
Attention deficit hyperactivity disorder (ADHD) is a heterogenous disorder that has a
detrimental impact on the neurodevelopment of the brain. ADHD patients exhibit …

Artificial intelligence for mental health care: clinical applications, barriers, facilitators, and artificial wisdom

EE Lee, J Torous, M De Choudhury, CA Depp… - Biological Psychiatry …, 2021 - Elsevier
Artificial intelligence (AI) is increasingly employed in health care fields such as oncology,
radiology, and dermatology. However, the use of AI in mental health care and …

[HTML][HTML] Machine learning and natural language processing in mental health: systematic review

A Le Glaz, Y Haralambous, DH Kim-Dufor… - Journal of medical …, 2021 - jmir.org
Background Machine learning systems are part of the field of artificial intelligence that
automatically learn models from data to make better decisions. Natural language processing …

Artificial intelligence and suicide prevention: a systematic review of machine learning investigations

RA Bernert, AM Hilberg, R Melia, JP Kim… - International journal of …, 2020 - mdpi.com
Suicide is a leading cause of death that defies prediction and challenges prevention efforts
worldwide. Artificial intelligence (AI) and machine learning (ML) have emerged as a means …

Deep learning in mental health outcome research: a scoping review

C Su, Z Xu, J Pathak, F Wang - Translational Psychiatry, 2020 - nature.com
Mental illnesses, such as depression, are highly prevalent and have been shown to impact
an individual's physical health. Recently, artificial intelligence (AI) methods have been …

AI in mental health

S D'Alfonso - Current opinion in psychology, 2020 - Elsevier
With the advent of digital approaches to mental health, modern artificial intelligence (AI), and
machine learning in particular, is being used in the development of prediction, detection and …

Beyond screen time: Identity development in the digital age

I Granic, H Morita, H Scholten - Psychological Inquiry, 2020 - Taylor & Francis
We are in the midst of a global transition in which digital “screens” are no longer simply
entertainment devices and distractions; rather, adolescents are currently living in a hybrid …

Suicidal ideation detection: A review of machine learning methods and applications

S Ji, S Pan, X Li, E Cambria, G Long… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Suicide is a critical issue in modern society. Early detection and prevention of suicide
attempts should be addressed to save people's life. Current suicidal ideation detection (SID) …

Using social media for mental health surveillance: a review

R Skaik, D Inkpen - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Data on social media contain a wealth of user information. Big data research of social media
data may also support standard surveillance approaches and provide decision-makers with …