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[From AI to polygenic risk scores: which innovations will shape the future of psychiatry?]
Background:
In recent years, developments have been made in various research domains, from treatments with (es)ketamine to large-scale genome-wide association studies (GWAS).
Aim:
To map some of the most promising scientific developments, that may have an impact on clinical practice in psychiatry or are already doing so.
Method:
We summarized recent developments in the field of epidemiology, artificial intelligence (AI) and genetics, supported by and illustrated with recent relevant scientific literature.
Results:
Triangulation of data and innovative trial designs, such as n=1 trials and platform trials, carry the potential to contribute to more reliable results and developments in precision psychiatry. AI has various possibilities for daily practice: from searching for evidence to applying therapeutic interventions via chatbots. GWAS enable individual genetic risk profile generation with ever-growing precision.
Conclusion:
Multifaceted developments in psychiatric research are projected to render clinical psychiatry more efficient and treatment options more personalized. Bolstering (international) collaborations and co-creating with experts by experience are indispensable elements in determining the scientific course in the field for the years ahead.
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