日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Reimagining psychiatric care with agentic AI: promise, challenges, and a roadmap forward

利用智能体人工智能重塑精神病护理:前景、挑战与未来发展路线图

Sharma, Divya; Meshkat, Shakila; Perivolaris, Argyrios; Kamaleddin, Mohammad Amin; Teferra, Bazen Gashaw; Rueda, Alice; Samavi, Reza; Jetly, Rakesh; Mago, Vijay; Wu, Yuqi; Zhang, Yanbo; Cao, Bo; Greenshaw, Andrew; Krishnan, Sri; Bhat, Venkat

Highly significant correlation between rates of adverse childhood experiences (ACE) in youth survivors of child sexual abuse (CSA) and their biological mothers

儿童性虐待幸存青少年及其亲生母亲的童年期不良经历(ACE)发生率之间存在高度显著的相关性

Reeson, Matthew; Pazderka, Hannah; Polzin, Wanda; Agyapong, Vincent; Greenshaw, Andrew J; Wei, Yifeng; Syzmanski, Laurie; Silverstone, Peter H

Life stressors and mental health: Depressive symptoms, anxiety, and suicidal ideation or intent during and after the COVID-19 pandemic

生活压力与心理健康:新冠疫情期间及之后抑郁症状、焦虑症和自杀意念或意图

Meshkat, Shakila; Han, Xiaoxuan; Lin, Qiaowei; Tassone, Vanessa K; Janssen-Aguilar, Reinhard; Lou, Wendy; Major, Shauna; Cooper, Michael; Greenshaw, Andrew; Bhat, Venkat

Predictors of Psychiatric Emergency Department Visits Following Inpatient Discharge: Secondary Analysis of a Stepped-Wedge Cluster Randomized Trial

住院患者出院后精神科急诊就诊的预测因素:一项阶梯楔形整群随机试验的二次分析

Mao, Wanying; Shalaby, Reham; Owusu, Ernest; Elgendy, Hossam Eldin; Agyapong, Belinda; Chue, Pierre; Silverstone, Peter H; Greenshaw, Andrew J; Li, Xin-Min; Eboreime, Ejemai; Vuong, Wesley; Ohinmaa, Arto; MacMaster, Frank P; Agyapong, Vincent Israel Opoku

Population-level individualized prospective prediction of opioid overdose using machine learning

利用机器学习对人群进行个体化前瞻性阿片类药物过量预测

Liu, Yang S; Pierce, Derek V; Metes, Dan; Song, Yipeng; Kiyang, Lawrence; Wang, Mengzhe; Dong, Kathryn; Eurich, Dean T; Patten, Scott; Greiner, Russell; Zhang, Yanbo; Hayward, Jake; Greenshaw, Andrew; Cao, Bo

Wearables research for continuous monitoring of patient outcomes: A scoping review

可穿戴设备在持续监测患者疗效方面的研究:范围界定综述

Lodewyk, Kalee; Wiebe, Madeleine; Dennett, Liz; Larsson, Jake; Greenshaw, Andrew; Hayward, Jake

Impact of early detection and management of emotional distress on length of stay in non-psychiatric inpatients: A retrospective hospital-based cohort study

早期发现和管理情绪困扰对非精神科住院患者住院时长的影响:一项基于医院的回顾性队列研究

Guo, Wanjun; Wang, Huiyao; Deng, Wei; Dong, Zaiquan; Liu, Yang; Luo, Shanxia; Yu, Jianying; Huang, Xia; Chen, Yuezhu; Ye, Jialu; Song, Jinping; Jiang, Yan; Li, Dajiang; Wang, Wen; Sun, Xin; Kuang, Weihong; Qiu, Changjian; Cheng, Nansheng; Li, Weimin; Zhang, Wei; Liu, Yansong; Tang, Zhen; Du, Xiangdong; Greenshaw, Andrew J; Zhang, Lan; Li, Tao

AI and Machine Learning Terminology in Medicine, Psychology, and Social Sciences: Tutorial and Practical Recommendations

医学、心理学和社会科学中的人工智能和机器学习术语:教程和实践建议

Cao, Bo; Greiner, Russell; Greenshaw, Andrew; Sui, Jie

Maturity Framework for Operationalizing Machine Learning Applications in Health Care: Scoping Review

医疗保健领域机器学习应用实施成熟度框架:范围界定审查

Li, Yutong; Tian, Julie; Xu, Ariana; Greiner, Russell; Hayward, Jake; Greenshaw, Andrew James; Cao, Bo

Effectiveness of Text Messages and Text Messages Plus Peer Support on Psychiatric Readmission and Length of Stay: Outcomes From a Quantitative Stepped-Wedge Cluster Randomized Trial

短信干预和短信干预加同伴支持对精神科再入院率和住院时长的影响:一项定量阶梯楔形整群随机试验的结果

Agyapong, Vincent Israel Opoku; Shalaby, Reham; Agyapong, Belinda; Mao, Wanying; Owusu, Ernest; Elgendy, Hossam Eldin; Eboreime, Ejemai; Silverstone, Peter H; Chue, Pierre; Li, Xin-Min; Vuong, Wesley; Ohinmaa, Arto; MacMaster, Frank; Greenshaw, Andrew J