Preparing for an Artificial Intelligence-Enabled Future: Patient Perspectives on Engagement and Health Care Professional Training for Adopting Artificial Intelligence Technologies in Health Care Settings [0.03%]
迎接人工智能时代的到来：患者视角下的参与和医疗保健专业人员的人工智能技术培训意见
Tharshini Jeyakumar,Sarah Younus,Melody Zhang et al.
Tharshini Jeyakumar et al.
Background: As new technologies emerge, there is a significant shift in the way care is delivered on a global scale. Artificial intelligence (AI) technologies have been rapidly and inexorably used to optimize patient outc...
Association of Health Care Work With Anxiety and Depression During the COVID-19 Pandemic: Structural Topic Modeling Study [0.03%]
新冠肺炎大流行期间医疗保健工作与焦虑和抑郁的相关性：结构主题模型研究
Matteo Malgaroli,Emily Tseng,Thomas D Hull et al.
Matteo Malgaroli et al.
Background: Stressors for health care workers (HCWs) during the COVID-19 pandemic have been manifold, with high levels of depression and anxiety alongside gaps in care. Identifying the factors most tied to HCWs' psycholog...
Visualizing the Interpretation of a Criteria-Driven System That Automatically Evaluates the Quality of Health News: Exploratory Study of 2 Approaches [0.03%]
基于标准的自动评估健康新闻质量系统的解释性可视化探索性研究：两种方法
Xiaoyu Liu,Hiba Alsghaier,Ling Tong et al.
Xiaoyu Liu et al.
Background: Machine learning techniques have been shown to be efficient in identifying health misinformation, but the results may not be trusted unless they can be justified in a way that is understandable. ...
Real-Time Classification of Causes of Death Using AI: Sensitivity Analysis [0.03%]
基于AI的实时死亡原因分类：敏感性分析
Patrícia Pita Ferreira,Diogo Godinho Simões,Constança Pinto de Carvalho et al.
Patrícia Pita Ferreira et al.
Background: In 2021, the European Union reported >270,000 excess deaths, including >16,000 in Portugal. The Portuguese Directorate-General of Health developed a deep neural network, AUTOCOD, which determines the primary c...
Predicting Patient Mortality for Earlier Palliative Care Identification in Medicare Advantage Plans: Features of a Machine Learning Model [0.03%]
预测患者死亡率以便于医疗保险优势计划中姑息治疗的早期介入：机器学习模型的特点
Anne Bowers,Chelsea Drake,Alexi E Makarkin et al.
Anne Bowers et al.
Background: Machine learning (ML) can offer greater precision and sensitivity in predicting Medicare patient end of life and potential need for palliative services compared to provider recommendations alone. However, earl...
Extraction of Radiological Characteristics From Free-Text Imaging Reports Using Natural Language Processing Among Patients With Ischemic and Hemorrhagic Stroke: Algorithm Development and Validation [0.03%]
基于自然语言处理的技术在缺血性和出血性卒中患者放射学报告中的应用：算法研发与验证
Enshuo Hsu,Abdulaziz T Bako,Thomas Potter et al.
Enshuo Hsu et al.
Background: Neuroimaging is the gold-standard diagnostic modality for all patients suspected of stroke. However, the unstructured nature of imaging reports remains a major challenge to extracting useful information from e...
Artificial Intelligence-Assisted Diagnosis of Anterior Cruciate Ligament Tears From Magnetic Resonance Images: Algorithm Development and Validation Study [0.03%]
基于磁共振图像辅助诊断前交叉韧带撕裂的人工智能算法研发与验证研究
Kun-Hui Chen,Chih-Yu Yang,Hsin-Yi Wang et al.
Kun-Hui Chen et al.
Background: Anterior cruciate ligament (ACL) injuries are common in sports and are critical knee injuries that require prompt diagnosis. Magnetic resonance imaging (MRI) is a strong, noninvasive tool for detecting ACL tea...
Effect of Benign Biopsy Findings on an Artificial Intelligence-Based Cancer Detector in Screening Mammography: Retrospective Case-Control Study [0.03%]
良性病变对基于人工智能的乳腺癌筛查系统的影响：回顾性病例对照研究
Athanasios Zouzos,Aleksandra Milovanovic,Karin Dembrower et al.
Athanasios Zouzos et al.
Background: Artificial intelligence (AI)-based cancer detectors (CAD) for mammography are starting to be used for breast cancer screening in radiology departments. It is important to understand how AI CAD systems react to...
Association Between Online Reviews of Substance Use Disorder Treatment Facilities and Drug-Induced Mortality Rates: Cross-Sectional Analysis [0.03%]
物质使用障碍治疗设施的在线评论与药物引起的死亡率之间的关联：横断面分析
Matthew P Abrams,Raina M Merchant,Zachary F Meisel et al.
Matthew P Abrams et al.
Background: Drug-induced mortality across the United States has continued to rise. To date, there are limited measures to evaluate patient preferences and priorities regarding substance use disorder (SUD) treatment, and m...
Developing an Inpatient Electronic Medical Record Phenotype for Hospital-Acquired Pressure Injuries: Case Study Using Natural Language Processing Models [0.03%]
基于自然语言处理模型的医院获得性压力损伤电子病历表型开发案例研究
Elvira Nurmambetova,Jie Pan,Zilong Zhang et al.
Elvira Nurmambetova et al.
Background: Surveillance of hospital-acquired pressure injuries (HAPI) is often suboptimal when relying on administrative health data, as International Classification of Diseases (ICD) codes are known to have long delays ...