Ethical considerations for precision psychiatry: A roadmap for research and clinical practice. 2022

Paolo Fusar-Poli, and Mirko Manchia, and Nikolaos Koutsouleris, and David Leslie, and Christiane Woopen, and Monica E Calkins, and Michael Dunn, and Christophe Le Tourneau, and Miia Mannikko, and Tineke Mollema, and Dominic Oliver, and Marcella Rietschel, and Eva Z Reininghaus, and Alessio Squassina, and Lucia Valmaggia, and Lars Vedel Kessing, and Eduard Vieta, and Christoph U Correll, and Celso Arango, and Ole A Andreassen, and
Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; South London and Maudsley NHS Foundation Trust, London, UK; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy. Electronic address: paolo.fusar-poli@kcl.ac.uk.

Precision psychiatry is an emerging field with transformative opportunities for mental health. However, the use of clinical prediction models carries unprecedented ethical challenges, which must be addressed before accessing the potential benefits of precision psychiatry. This critical review covers multidisciplinary areas, including psychiatry, ethics, statistics and machine-learning, healthcare and academia, as well as input from people with lived experience of mental disorders, their family, and carers. We aimed to identify core ethical considerations for precision psychiatry and mitigate concerns by designing a roadmap for research and clinical practice. We identified priorities: learning from somatic medicine; identifying precision psychiatry use cases; enhancing transparency and generalizability; fostering implementation; promoting mental health literacy; communicating risk estimates; data protection and privacy; and fostering the equitable distribution of mental health care. We hope this blueprint will advance research and practice and enable people with mental health problems to benefit from precision psychiatry.

UI MeSH Term Description Entries
D011570 Psychiatry The medical science that deals with the origin, diagnosis, prevention, and treatment of mental disorders.
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000069550 Machine Learning A type of ARTIFICIAL INTELLIGENCE that enable COMPUTERS to independently initiate and execute LEARNING when exposed to new data. Transfer Learning,Learning, Machine,Learning, Transfer
D001523 Mental Disorders Psychiatric illness or diseases manifested by breakdowns in the adaptational process expressed primarily as abnormalities of thought, feeling, and behavior producing either distress or impairment of function. Mental Illness,Psychiatric Diseases,Psychiatric Disorders,Psychiatric Illness,Behavior Disorders,Diagnosis, Psychiatric,Mental Disorders, Severe,Psychiatric Diagnosis,Illness, Mental,Mental Disorder,Mental Disorder, Severe,Mental Illnesses,Psychiatric Disease,Psychiatric Disorder,Psychiatric Illnesses,Severe Mental Disorder,Severe Mental Disorders

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