Multimodal machine learning in precision health: A sco** review
Abstract Machine learning is frequently being leveraged to tackle problems in the health
sector including utilization for clinical decision-support. Its use has historically been focused …
sector including utilization for clinical decision-support. Its use has historically been focused …
Candidate biomarkers in psychiatric disorders: state of the field
The field of psychiatry is hampered by a lack of robust, reliable and valid biomarkers that can
aid in objectively diagnosing patients and providing individualized treatment …
aid in objectively diagnosing patients and providing individualized treatment …
Prevention of psychosis: advances in detection, prognosis, and intervention
Importance Detection, prognosis, and indicated interventions in individuals at clinical high
risk for psychosis (CHR-P) are key components of preventive psychiatry. Objective To …
risk for psychosis (CHR-P) are key components of preventive psychiatry. Objective To …
Brain disorders? Not really: Why network structures block reductionism in psychopathology research
In the past decades, reductionism has dominated both research directions and funding
policies in clinical psychology and psychiatry. The intense search for the biological basis of …
policies in clinical psychology and psychiatry. The intense search for the biological basis of …
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 …
problems, and suggests how to solve them. I focus on the potential contributions of artificial …
Association of structural magnetic resonance imaging measures with psychosis onset in individuals at clinical high risk for develo** psychosis: an ENIGMA working …
Importance The ENIGMA clinical high risk (CHR) for psychosis initiative, the largest pooled
neuroimaging sample of individuals at CHR to date, aims to discover robust neurobiological …
neuroimaging sample of individuals at CHR to date, aims to discover robust neurobiological …
Accelerated cortical thinning precedes and predicts conversion to psychosis: The NAPLS3 longitudinal study of youth at clinical high-risk
Progressive grey matter loss has been demonstrated among clinical high-risk (CHR)
individuals who convert to psychosis, but it is unknown whether these changes occur prior to …
individuals who convert to psychosis, but it is unknown whether these changes occur prior to …
Implementing precision psychiatry: a systematic review of individualized prediction models for clinical practice
Background The impact of precision psychiatry for clinical practice has not been
systematically appraised. This study aims to provide a comprehensive review of validated …
systematically appraised. This study aims to provide a comprehensive review of validated …
What causes the onset of psychosis in individuals at clinical high risk? A meta-analysis of risk and protective factors
Twenty percent of individuals at clinical high risk for psychosis (CHR-P) develop the disorder
within 2 years. Extensive research has explored the factors that differentiate those who …
within 2 years. Extensive research has explored the factors that differentiate those who …
Early detection and preventive intervention in schizophrenia: from fantasy to reality
Scientific progress in understanding human disease can be measured by the effectiveness
of its treatment. Antipsychotic drugs have been proven to alleviate acute psychotic symptoms …
of its treatment. Antipsychotic drugs have been proven to alleviate acute psychotic symptoms …