Artificial intelligence for mental health care: clinical applications, barriers, facilitators, and artificial wisdom
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 …
radiology, and dermatology. However, the use of AI in mental health care and …
A scoping review of machine learning in psychotherapy research
Abstract Machine learning (ML) offers robust statistical and probabilistic techniques that can
help to make sense of large amounts of data. This scoping review paper aims to broadly …
help to make sense of large amounts of data. This scoping review paper aims to broadly …
Modern views of machine learning for precision psychiatry
In light of the National Institute of Mental Health (NIMH)'s Research Domain Criteria (RDoC),
the advent of functional neuroimaging, novel technologies and methods provide new …
the advent of functional neuroimaging, novel technologies and methods provide new …
Predicting women with depressive symptoms postpartum with machine learning methods
S Andersson, DR Bathula, SI Iliadis, M Walter… - Scientific reports, 2021 - nature.com
Postpartum depression (PPD) is a detrimental health condition that affects 12% of new
mothers. Despite negative effects on mothers' and children's health, many women do not …
mothers. Despite negative effects on mothers' and children's health, many women do not …
Predicting childhood and adolescent attention-deficit/hyperactivity disorder onset: a nationwide deep learning approach
Attention-deficit/hyperactivity disorder (ADHD) is a heterogeneous disorder with a high
degree of psychiatric and physical comorbidity, which complicates its diagnosis in childhood …
degree of psychiatric and physical comorbidity, which complicates its diagnosis in childhood …
Machine learning on the COVID-19 pandemic, human mobility and air quality: A review
The ongoing COVID-19 global pandemic is touching every facet of human lives (eg, public
health, education, economy, transportation, and the environment). This novel pandemic and …
health, education, economy, transportation, and the environment). This novel pandemic and …
[HTML][HTML] iHealth: The ethics of artificial intelligence and big data in mental healthcare
G Rubeis - Internet Interventions, 2022 - Elsevier
The concept of intelligent health (iHealth) in mental healthcare integrates artificial
intelligence (AI) and Big Data analytics. This article is an attempt to outline ethical aspects …
intelligence (AI) and Big Data analytics. This article is an attempt to outline ethical aspects …
Pragmatic precision psychiatry—a new direction for optimizing treatment selection
RC Kessler, A Luedtke - JAMA psychiatry, 2021 - jamanetwork.com
Importance Clinical trials have identified numerous prescriptive predictors of mental disorder
treatment response, ie, predictors of which treatments are best for which patients. However …
treatment response, ie, predictors of which treatments are best for which patients. However …
[HTML][HTML] Ethics and law in research on algorithmic and data-driven technology in mental health care: scoping review
P Gooding, T Kariotis - JMIR Mental Health, 2021 - mental.jmir.org
Background Uncertainty surrounds the ethical and legal implications of algorithmic and data-
driven technologies in the mental health context, including technologies characterized as …
driven technologies in the mental health context, including technologies characterized as …
Opportunities, applications, challenges and ethical implications of artificial intelligence in psychiatry: a narrative review
Background Artificial intelligence (AI) has made significant advances in recent years, and its
applications in psychiatry have gained increasing attention. The use of AI in psychiatry offers …
applications in psychiatry have gained increasing attention. The use of AI in psychiatry offers …