Maternal and Perinatal Outcomes in Pregnancies With Type 1 Diabetes and Controls During a 15-Year Period (2006-2020) [0.03%]
2006-2020年1型糖尿病与对照组孕妇及其围生儿结局的比较（一项为期15年的研究）
Shafaq Raza Rizvi,Donna Desjardins,Ravinder Jeet Kaur et al.
Shafaq Raza Rizvi et al.
Objective: To study contemporaneous pregnancy outcomes in women with Type 1 Diabetes (T1D). Patients and methods: We retrospectively st...
Treatment Modalities, Pain Response, and Referrals for Hypermobile Ehlers-Danlos Syndrome and Hypermobility Spectrum Disorders: A Retrospective Study [0.03%]
针对高伸展性血管型埃勒斯-丹洛斯综合征和关节 hypermobility spectrum disorder的治疗方式、疼痛反应及转诊情况：一项回顾性研究
Frances C Wilson,Katelyn A Bruno,DeLisa Fairweather et al.
Frances C Wilson et al.
Objective: To gain a better understanding of preferred treatment modalities and referrals to better treat and manage pain symptoms, we conducted a retrospective longitudinal cohort study of patients with hypermobile Ehler...
Adapting the World Health Organization 5 Well-Being Index for Emergency Activation and Response Planning in a US Health Care Setting [0.03%]
世界卫生组织健康状况指数在美国医疗保健环境中的适应性激活和应对计划
Laura E Breeher,Elizabeth H Lees,Wigdan H Farah et al.
Laura E Breeher et al.
Objective: To test the World Health Organization 5 Well-Being Index assessment tool as a practical way of detecting well-being changes across health care providers (HCPs) during high-consequence infectious disease (HCID) ...
Well-Being Activities Among Internal Medicine Physicians: Results of a National Survey [0.03%]
内科医师幸福活动调查结果national survey
Nicole Hobson,M Todd Greene,Sanjay Saint et al.
Nicole Hobson et al.
Objective: To evaluate the frequency and demographic predictors of engaging in personal well-being activities among US internal medicine physicians. Parti...
Comorbidity Disease Pattern in Japanese Elderly Population: A Network-Based Analysis [0.03%]
基于网络的分析在日本老年人群中发现共病模式
Shuko Nojiri,Wataru Urasaki,Masao Iwagami et al.
Shuko Nojiri et al.
Objective: To clarify the disease pattern for elderly individuals in the general population in Japan with multimorbidity networks based on an analysis of common chronic conditions. ...
A Dual-Modality Ultrasound Video Recognition Model for Distinguishing Subpleural Pulmonary Nodules [0.03%]
一种区分肺亚胸膜结节的超声波双模态视频识别模型
Yin Wang,Mengjun Shen,Ke Bi et al.
Yin Wang et al.
Objective: To develop a deep learning model based on dual-modality ultrasound (DMUS) video recognition for the differential diagnosis of benign and malignant subpleural pulmonary nodules (SPNs). ...
An Artificial Intelligence-Enabled Electrocardiogram to Evaluate Patients With Dyspnea in the Emergency Department [0.03%]
基于人工智能的心电图在急诊科评估呼吸困难患者的临床应用研究
Hee Tae Yu,Laura E Walker,Eunjung Lee et al.
Hee Tae Yu et al.
Objective: To evaluate whether an Artificial Intelligence-Enabled Electrocardiogram (AI-ECG) for diastolic function/filling pressure can determine whether dyspnea in emergency department (ED) patients is cardiac in origin...
Dynamic Changes in Bilirubin Predict 90-Day Mortality in Patients With Hepatocellular Carcinoma and Acute Decompensations of Cirrhosis: The HCC-AD Score [0.03%]
动态变化的胆红素可预测肝细胞癌和急性失代偿期肝硬化患者的90天死亡率：HCC-AD评分
Oliver Moore,Fran Neveu-Coble,Scott Read et al.
Oliver Moore et al.
Objective: To develop a score to predict 90-day mortality in patients with hepatocellular carcinoma (HCC) admitted with an acute decompensation (AD) event of chronic liver disease. ...
Association Between Trunk Fat Mass Index and Diabetes in a Multinational Population [0.03%]
躯干脂肪质量指数与多国民众糖尿病的关系研究
Chibueze Ogbonnaya,Madison Kindred,Carl J Lavie et al.
Chibueze Ogbonnaya et al.
Objective: To examine the cross-sectional association between trunk fat mass index (TFMI) and diabetes across individuals within the same body mass index (BMI [calculated as the weight in kilograms divided by the height i...
Vital Signs-Only Machine Learning Model for Acute Inpatient Deterioration: A Retrospective Multicenter Study [0.03%]
基于生命体征的急性住院患者病情恶化预测模型：回顾性多中心研究
Santiago Romero-Brufau,Radit Smunyahirun,Timothée Filhol et al.
Santiago Romero-Brufau et al.
Objective: To develop predictive models that are compatible with vital signs monitoring devices to identify patients at risk of clinical deterioration, defined as requiring a rapid response team intervention or an unplann...