Deep Learning Multi-Modal Melanoma Detection: Algorithm Development and Validation [0.03%]
基于深度学习的多模态黑色素瘤检测算法的开发与验证
Nithika Vivek,Karthik Ramesh
Nithika Vivek
Background: The visual similarity of melanoma and seborrheic keratosis has made it difficult for older patients with disabilities to know when to seek medical attention, contributing to the metastasis of melanoma. ...
Mohammed As&#x;ad,Nawarh Faran,Hala Joharji
Mohammed As&#x;ad
Shared decision-making is central to patient-centered care but is often hampered by artificial intelligence (AI) systems that focus on technical transparency rather than delivering context-rich, clinically meaningful reasoning. Although AI ...
Assessing Revisit Risk in Emergency Department Patients: Machine Learning Approach [0.03%]
急诊患者的再访风险评估：机器学习方法
Wang-Chuan Juang,Zheng-Xun Cai,Chia-Mei Chen et al.
Wang-Chuan Juang et al.
Background: Overcrowded emergency rooms might degrade the quality of care and overload the clinic staff. Assessing unscheduled return visits (URVs) to the emergency department (ED) is a quality assurance procedure to iden...
Training Language Models for Estimating Priority Levels in Ultrasound Examination Waitlists: Algorithm Development and Validation [0.03%]
用于估算超声波检查候诊名单优先级别的语言模型训练：算法开发与验证
Kanato Masayoshi,Masahiro Hashimoto,Naoki Toda et al.
Kanato Masayoshi et al.
Background: Ultrasound examinations, while valuable, are time-consuming and often limited in availability. Consequently, many hospitals implement reservation systems; however, these systems typically lack prioritization f...
Natural Language Processing for Identification of Hospitalized People Who Use Drugs: Cohort Study [0.03%]
用于识别住院药物使用者的自然语言处理研究：队列研究
Taisuke Sato,Emily D Grussing,Ruchi Patel et al.
Taisuke Sato et al.
Background: People who use drugs (PWUD) are at heightened risk of severe injection-related infections. Current research relies on billing codes to identify PWUD-a methodology with suboptimal accuracy that may underestimat...
AI-SDM: A Concept of Integrating AI Reasoning into Shared Decision-Making [0.03%]
AI-SDM：在共同决策中整合人工智能推理的概念
Mohammed As&#x;ad,Nawarh Faran,Hala Joharji
Mohammed As&#x;ad
Shared decision-making is central to patient-centered care but is often hampered by AI systems that focus on technical transparency rather than delivering context-rich, clinically meaningful reasoning. Although XAI methods elucidate how dec...
Deep Learning Multi Modal Melanoma Detection: Algorithm Development and Validation [0.03%]
基于深度学习的多模态黑色素瘤检测算法研发与验证
Nithika Vivek,Karthik Ramesh
Nithika Vivek
Background: The visual similarity of melanoma and seborrheic keratosis has made it difficult for elderly patients with disabilities to know when to seek medical attention, contributing to the metastasis of melanoma. ...
Enhancing Magnetic Resonance Imaging (MRI) Report Comprehension in Spinal Trauma: Readability Analysis of AI-Generated Explanations for Thoracolumbar Fractures [0.03%]
人工智能生成的胸腰椎骨折磁共振成像（MRI）报告解释的可读性分析增强脊柱创伤 MRI 报告的理解：胸腰椎骨折 MRI 报告人工智能解释的可读性分析
David C Sing,Kishan S Shah,Michael Pompliano et al.
David C Sing et al.
Background: Magnetic resonance imaging (MRI) reports are challenging for patients to interpret and may subject patients to unnecessary anxiety. The advent of advanced artificial intelligence (AI) large language models (LL...
Identifying New Risk Associations Between Chronic Physical Illness and Mental Health Disorders in China: Machine Learning Approach to a Retrospective Population Analysis [0.03%]
在中国识别慢性躯体疾病与精神健康障碍之间的新风险关联：一种面向人口的回顾性分析的机器学习方法
Lizhong Liang,Tianci Liu,William Ollier et al.
Lizhong Liang et al.
Background: The mechanisms underlying the mutual relationships between chronic physical illnesses and mental health disorders, which potentially explain their association, remain unclear. Furthermore, how patterns of this...
Identifying Asthma-Related Symptoms From Electronic Health Records Using a Hybrid Natural Language Processing Approach Within a Large Integrated Health Care System: Retrospective Study [0.03%]
基于电子健康记录利用混合型自然语言处理方法在大型综合医疗体系中识别哮喘相关症状的回顾性研究
Fagen Xie,Robert S Zeiger,Mary Marycania Saparudin et al.
Fagen Xie et al.
Background: Asthma-related symptoms are significant predictors of asthma exacerbation. Most of these symptoms are documented in clinical notes in a free-text format, and effective methods for capturing asthma-related symp...