The genetic basis of major depressive disorder

J Flint - Molecular psychiatry, 2023 - nature.com
The genetic dissection of major depressive disorder (MDD) ranks as one of the success
stories of psychiatric genetics, with genome-wide association studies (GWAS) identifying …

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 …

Psychiatric diagnosis and treatment in the 21st century: paradigm shifts versus incremental integration

DJ Stein, SJ Shoptaw, DV Vigo, C Lund… - World …, 2022 - Wiley Online Library
Psychiatry has always been characterized by a range of different models of and approaches
to mental disorder, which have sometimes brought progress in clinical practice, but have …

Improving mental health services: A 50-year journey from randomized experiments to artificial intelligence and precision mental health

L Bickman - Administration and Policy in Mental Health and Mental …, 2020 - Springer
This conceptual paper describes the current state of mental health services, identifies critical
problems, and suggests how to solve them. I focus on the potential contributions of artificial …

Modern views of machine learning for precision psychiatry

ZS Chen, IR Galatzer-Levy, B Bigio, C Nasca, Y Zhang - Patterns, 2022 - cell.com
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 …

Unlocking the emotional world of visual media: An overview of the science, research, and impact of understanding emotion

JZ Wang, S Zhao, C Wu, RB Adams… - Proceedings of the …, 2023 - ieeexplore.ieee.org
The emergence of artificial emotional intelligence technology is revolutionizing the fields of
computers and robotics, allowing for a new level of communication and understanding of …

[HTML][HTML] An overview of clustering methods with guidelines for application in mental health research

CX Gao, D Dwyer, Y Zhu, CL Smith, L Du, KM Filia… - Psychiatry …, 2023 - Elsevier
Cluster analyzes have been widely used in mental health research to decompose inter-
individual heterogeneity by identifying more homogeneous subgroups of individuals …

Automatic detection of depression in speech using ensemble convolutional neural networks

A Vázquez-Romero, A Gallardo-Antolín - Entropy, 2020 - mdpi.com
This paper proposes a speech-based method for automatic depression classification. The
system is based on ensemble learning for Convolutional Neural Networks (CNNs) and is …

Oral and laryngeal diadochokinesis across the life span: A scoping review of methods, reference data, and clinical applications

RD Kent, Y Kim, L Chen - Journal of Speech, Language, and Hearing …, 2022 - ASHA
Purpose: The aim of this study was to conduct a scoping review of research on oral and
laryngeal diadochokinesis (DDK) in children and adults, either typically …

An automatic Alzheimer's disease classifier based on spontaneous spoken English

F Bertini, D Allevi, G Lutero, L Calzà… - Computer Speech & …, 2022 - Elsevier
Abstract According to the World Health Organization, the number of people suffering from
dementia worldwide will grow to 150 million by mid-century, and Alzheimer's disease is the …