The emergence of digital mental health in low-income and middle-income countries: A review of recent advances and implications for the treatment and prevention of …
In low-income and middle-income countries (LMICs), emerging digital mental health
interventions should be accompanied by regular and comprehensive assessment of …
interventions should be accompanied by regular and comprehensive assessment of …
Translating promise into practice: a review of machine learning in suicide research and prevention
OJ Kirtley, K van Mens, M Hoogendoorn… - The Lancet …, 2022 - thelancet.com
In ever more pressured health-care systems, technological solutions offering scalability of
care and better resource targeting are appealing. Research on machine learning as a …
care and better resource targeting are appealing. Research on machine learning as a …
Specific challenges posed by artificial intelligence in research ethics
S Bouhouita-Guermech, P Gogognon… - Frontiers in artificial …, 2023 - frontiersin.org
Background The twenty first century is often defined as the era of Artificial Intelligence (AI),
which raises many questions regarding its impact on society. It is already significantly …
which raises many questions regarding its impact on society. It is already significantly …
Operationalising ethics in artificial intelligence for healthcare: A framework for AI developers
Artificial intelligence (AI) offers much promise for improving healthcare. However, it runs the
looming risk of causing individual and societal harms; for instance, exacerbating inequalities …
looming risk of causing individual and societal harms; for instance, exacerbating inequalities …
The relationship between text message sentiment and self-reported depression
Background Personal sensing has shown promise for detecting behavioral correlates of
depression, but there is little work examining personal sensing of cognitive and affective …
depression, but there is little work examining personal sensing of cognitive and affective …
Acoustic speech markers for schizophrenia-spectrum disorders: a diagnostic and symptom-recognition tool
Background Clinicians routinely use impressions of speech as an element of mental status
examination. In schizophrenia-spectrum disorders, descriptions of speech are used to …
examination. In schizophrenia-spectrum disorders, descriptions of speech are used to …
Ensuring patient and public involvement in the transition to AI‐assisted mental health care: A systematic scoping review and agenda for design justice
T Zidaru, EM Morrow, R Stockley - Health Expectations, 2021 - Wiley Online Library
Background Machine‐learning algorithms and big data analytics, popularly known as
'artificial intelligence'(AI), are being developed and taken up globally. Patient and public …
'artificial intelligence'(AI), are being developed and taken up globally. Patient and public …
Machine learning in biosignals processing for mental health: A narrative review
Machine Learning (ML) offers unique and powerful tools for mental health practitioners to
improve evidence-based psychological interventions and diagnoses. Indeed, by detecting …
improve evidence-based psychological interventions and diagnoses. Indeed, by detecting …
Towards ordinal suicide ideation detection on social media
The rising ubiquity of social media presents a platform for individuals to express suicide
ideation, instead of traditional, formal clinical settings. While neural methods for assessing …
ideation, instead of traditional, formal clinical settings. While neural methods for assessing …
Psychiatry in the digital age: A blessing or a curse?
CB Roth, A Papassotiropoulos, AB Brühl… - International journal of …, 2021 - mdpi.com
Social distancing and the shortage of healthcare professionals during the COVID-19
pandemic, the impact of population aging on the healthcare system, as well as the rapid …
pandemic, the impact of population aging on the healthcare system, as well as the rapid …