Overcoming barriers to precision psychiatry: Enhancing implementation for personalized mental health care [0.03%]
突破精准精神病学的障碍：增强个性化的心理健康护理的实施能力
Yu Xiao,Zhou Zhang,Ting-Ting Chen et al.
Yu Xiao et al.
Impact of COVID-19 on mental health in the US with generative AI [0.03%]
COVID-19对美国精神健康的影响及生成式人工智能的作用
Yoshiyasu Takefuji
Yoshiyasu Takefuji
This paper investigates the impact of COVID-19 on mental health in the US using a large CDC dataset and a new method with generative AI for automatically generating Python code. The generated code was used to investigate and visualize the t...
Establishment of a risk prediction model for suicide attempts in first-episode and drug naïve patients with major depressive disorder [0.03%]
建立重大抑郁发作且从未用药患者自杀未遂风险预测模型
Wanqiu Yang,Xiaohong Wang,Chuanyi Kang et al.
Wanqiu Yang et al.
Background: Suicide is common in patients with major depressive disorder (MDD) and has serious consequences for individuals and families. This study aims to establish a risk prediction model for suicide attempts in MDD pa...
Diagnostic efficiency and psychometric properties of CBCL DSM-oriented scales in a large sample of Chinese school-attending students aged 5-16 [0.03%]
基于中国大样本在校学生的儿童行为量表(CBCL) DSM导向分量表的诊断效率及测量学属性分析
Zhongliang Jiang,Duo Wang,Hui Xu et al.
Zhongliang Jiang et al.
Background: Children and adolescents are vulnerable to various psychiatric disorders during the critical phase of individual development. In China, the child behavior checklist (CBCL) is a widely employed psychometric que...
Increasing trend of deaths due to suicide attributable to mental disorders and substance use (disorders) in India [0.03%]
印度由于精神疾病和物质使用障碍自杀死亡人数增多趋势分析
Akanksha Jayant Rajguru,Yatan Pal Singh Balhara
Akanksha Jayant Rajguru
In this article we aim to assess the change in the deaths due to suicide attributable to mental disorders and substance use (disorders) in India over the past 26 years. We also aim to make projections over the coming years. For the deaths d...
Artificial intelligence-based approaches for suicide prediction: Hope or hype? [0.03%]
基于人工智能的自杀预测方法：希望还是炒作？
Vikas Menon,Lakshmi Vijayakumar
Vikas Menon
Accurate prediction of suicide risk is important because it allows evidence-based interventions to be targeted to at-risk populations. Conventional approaches to prediction of suicide risk have shown suboptimal accuracy. In this context, ar...
Ketamine versus electroconvulsive therapy for treatment-resistant depression: An updated meta-analysis of randomized clinical trials [0.03%]
氯胺酮与电休克治疗难治性抑郁症的疗效比较：随机对照研究的meta分析更新
Arman Shafiee,Faeze Soltani Abhari,Kyana Jafarabady et al.
Arman Shafiee et al.
A digital ally: The potential roles of ChatGPT in mental health services [0.03%]
数字助手：ChatGPT在心理健康服务中的潜在作用
Yunhan He,Kaixin Liang,Binyao Han et al.
Yunhan He et al.
Excess mortality among adults with mental disorders treated in psychiatric and general medical settings: A population-based cohort study using municipal medical claims data in Japan [0.03%]
基于日本地方医疗索赔数据的精神障碍患者过早死亡的队列研究
Naoaki Kuroda,Nanako Tamiya
Naoaki Kuroda
Objectives: To estimate the excess mortality associated with serious mental illnesses (schizophrenia and bipolar disorder) and common mental disorders (depression and anxiety) at the population level. ...
Anxiety due to Long COVID is partially driven by activation of the tryptophan catabolite (TRYCAT) pathway [0.03%]
长期新冠焦虑部分由激活色氨酸降解途径引起
Hussein Kadhem Al-Hakeim,Anwar Khairi Abed,Abbas F Almulla et al.
Hussein Kadhem Al-Hakeim et al.
This study examines whether activation of the tryptophan catabolite (TRYCAT) pathway is associated with anxiety symptoms due to Long COVID. We selected 90 participants, 60 Long COVID patients and 30 individuals without any symptoms followin...