J M van Gaalen, A Ten Hagen, C H Vinkers, J J Luykx
{"title":"[From AI to polygenic risk scores: which innovations will shape the future of psychiatry?]","authors":"J M van Gaalen, A Ten Hagen, C H Vinkers, J J Luykx","doi":"","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>In recent years, developments have been made in various research domains, from treatments with (es)ketamine to large-scale genome-wide association studies (GWAS).</p><p><strong>Aim: </strong>To map some of the most promising scientific developments, that may have an impact on clinical practice in psychiatry or are already doing so.</p><p><strong>Method: </strong>We summarized recent developments in the field of epidemiology, artificial intelligence (AI) and genetics, supported by and illustrated with recent relevant scientific literature.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":23100,"journal":{"name":"Tijdschrift voor psychiatrie","volume":"67 2","pages":"100-104"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tijdschrift voor psychiatrie","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
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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