Mayank Gupta, D. Ramar, Rekha Vijayan, Nihit Gupta
{"title":"用于青少年和年轻人自杀预防的人工智能工具","authors":"Mayank Gupta, D. Ramar, Rekha Vijayan, Nihit Gupta","doi":"10.2174/2210676612666220408095913","DOIUrl":null,"url":null,"abstract":"\n\nArtificial Intelligence is making a significant transformation in human lives. Its application in the medical and healthcare field has been also observed making an impact and improving overall outcomes. There has been a quest for similar processes in mental health due to the lack of observable changes in the areas of suicide prevention. In the last five years, there has been an emerging body of empirical research applying the technology of artificial intelligence (AI) and machine learning (ML) in mental health.\n\n\n\nTo review the clinical applicability of the AI/ML-based tools in suicide prevention.\n\n\n\nThe compelling question of predicting suicidality has been the focus of this research. \nWe performed a broad literature search and then identified 36 articles relevant to meet the objectives of this review. We review the available evidence and provide a brief overview of the advances in this field.\n\n\n\nIn the last five years, there has been more evidence supporting the implementation of these algorithms in clinical practice. Its current clinical utility is limited to using electronic health records and could be highly effective in conjunction with existing tools for suicide prevention. Other potential sources of relevant data include smart devices and social network sites. There are some serious questions about data privacy and ethics which need more attention while developing these new modalities in suicide research.\n","PeriodicalId":43326,"journal":{"name":"Adolescent Psychiatry","volume":null,"pages":null},"PeriodicalIF":0.4000,"publicationDate":"2022-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence Tools for Suicide Prevention in Adolescents and Young Adults\",\"authors\":\"Mayank Gupta, D. Ramar, Rekha Vijayan, Nihit Gupta\",\"doi\":\"10.2174/2210676612666220408095913\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n\\nArtificial Intelligence is making a significant transformation in human lives. Its application in the medical and healthcare field has been also observed making an impact and improving overall outcomes. There has been a quest for similar processes in mental health due to the lack of observable changes in the areas of suicide prevention. In the last five years, there has been an emerging body of empirical research applying the technology of artificial intelligence (AI) and machine learning (ML) in mental health.\\n\\n\\n\\nTo review the clinical applicability of the AI/ML-based tools in suicide prevention.\\n\\n\\n\\nThe compelling question of predicting suicidality has been the focus of this research. \\nWe performed a broad literature search and then identified 36 articles relevant to meet the objectives of this review. We review the available evidence and provide a brief overview of the advances in this field.\\n\\n\\n\\nIn the last five years, there has been more evidence supporting the implementation of these algorithms in clinical practice. Its current clinical utility is limited to using electronic health records and could be highly effective in conjunction with existing tools for suicide prevention. Other potential sources of relevant data include smart devices and social network sites. There are some serious questions about data privacy and ethics which need more attention while developing these new modalities in suicide research.\\n\",\"PeriodicalId\":43326,\"journal\":{\"name\":\"Adolescent Psychiatry\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2022-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Adolescent Psychiatry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/2210676612666220408095913\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PEDIATRICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Adolescent Psychiatry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/2210676612666220408095913","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PEDIATRICS","Score":null,"Total":0}
Artificial Intelligence Tools for Suicide Prevention in Adolescents and Young Adults
Artificial Intelligence is making a significant transformation in human lives. Its application in the medical and healthcare field has been also observed making an impact and improving overall outcomes. There has been a quest for similar processes in mental health due to the lack of observable changes in the areas of suicide prevention. In the last five years, there has been an emerging body of empirical research applying the technology of artificial intelligence (AI) and machine learning (ML) in mental health.
To review the clinical applicability of the AI/ML-based tools in suicide prevention.
The compelling question of predicting suicidality has been the focus of this research.
We performed a broad literature search and then identified 36 articles relevant to meet the objectives of this review. We review the available evidence and provide a brief overview of the advances in this field.
In the last five years, there has been more evidence supporting the implementation of these algorithms in clinical practice. Its current clinical utility is limited to using electronic health records and could be highly effective in conjunction with existing tools for suicide prevention. Other potential sources of relevant data include smart devices and social network sites. There are some serious questions about data privacy and ethics which need more attention while developing these new modalities in suicide research.
期刊介绍:
Adolescent Psychiatry a peer-reviewed journal, aims to provide mental health professionals who work with adolescents with current information relevant to the diagnosis and treatment of psychiatric disorders in adolescents. Adolescent Psychiatry reports of original research, critical reviews of topics relevant to practitioners, clinical observations with analysis and discussion, analysis of philosophical, ethical or social aspects of the fields of psychiatry and mental health, case reports with discussions, letters, and position papers. Topics include adolescent development and developmental psychopathology, psychotherapy and other psychosocial treatment approaches, psychopharmacology, and service settings and programs. The primary focus of the work should be on adolescents, transition-aged youth, The primary focus of the work should be on adolescents, transition-aged youth, or emerging adults, that is, persons 12-24 years of age . Articles on families of adolescents, or adults who have been followed since adolescence will also be considered.