Automated assessment of psychiatric disorders using speech: A systematic review
Objective There are many barriers to accessing mental health assessments including cost
and stigma. Even when individuals receive professional care, assessments are intermittent …
and stigma. Even when individuals receive professional care, assessments are intermittent …
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 …
Mental health prediction using machine learning: taxonomy, applications, and challenges
J Chung, J Teo - Applied Computational Intelligence and Soft …, 2022 - Wiley Online Library
The increase of mental health problems and the need for effective medical health care have
led to an investigation of machine learning that can be applied in mental health problems …
led to an investigation of machine learning that can be applied in mental health problems …
Artificial intelligence in clinical and genomic diagnostics
R Dias, A Torkamani - Genome medicine, 2019 - Springer
Artificial intelligence (AI) is the development of computer systems that are able to perform
tasks that normally require human intelligence. Advances in AI software and hardware …
tasks that normally require human intelligence. Advances in AI software and hardware …
[HTML][HTML] Treatment of posttraumatic stress disorder: a state-of-the-art review
L Burback, S Brémault-Phillips, MJ Nijdam… - Current …, 2024 - ncbi.nlm.nih.gov
This narrative state-of-the-art review paper describes the progress in the understanding and
treatment of Posttraumatic Stress Disorder (PTSD). Over the last four decades, the scientific …
treatment of Posttraumatic Stress Disorder (PTSD). Over the last four decades, the scientific …
[HTML][HTML] Methodological and quality flaws in the use of artificial intelligence in mental health research: systematic review
R Tornero-Costa, A Martinez-Millana… - JMIR Mental …, 2023 - mental.jmir.org
Background: Artificial intelligence (AI) is giving rise to a revolution in medicine and health
care. Mental health conditions are highly prevalent in many countries, and the COVID-19 …
care. Mental health conditions are highly prevalent in many countries, and the COVID-19 …
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 …
[HTML][HTML] Anomalies in language as a biomarker for schizophrenia
Language disturbances are a key feature of schizophrenia. Although in its early stages, the
emerging field of research focused on computational linguistics suggests an important role …
emerging field of research focused on computational linguistics suggests an important role …
Unlocking the emotional world of visual media: An overview of the science, research, and impact of understanding emotion
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 …
computers and robotics, allowing for a new level of communication and understanding of …
Deep learning-based classification of posttraumatic stress disorder and depression following trauma utilizing visual and auditory markers of arousal and mood
BackgroundVisual and auditory signs of patient functioning have long been used for clinical
diagnosis, treatment selection, and prognosis. Direct measurement and quantification of …
diagnosis, treatment selection, and prognosis. Direct measurement and quantification of …