A5071789952- Higher Education Research Studies
- Lung Cancer Diagnosis and Treatment
- Computational Fluid Dynamics and Aerodynamics
- Fluid Dynamics and Turbulent Flows
- Radiomics and Machine Learning in Medical Imaging
- Cardiovascular Function and Risk Factors
- Radiation Dose and Imaging
- Cardiac Imaging and Diagnostics
- Migration and Labor Dynamics
- Congenital Heart Disease Studies
- Critical Race Theory in Education
- Advanced MRI Techniques and Applications
- Intergenerational and Educational Inequality Studies
- Cardiac, Anesthesia and Surgical Outcomes
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Social and Cultural Dynamics
- Medical Imaging and Pathology Studies
- Ultrasound in Clinical Applications
- Heart Failure Treatment and Management
- Advanced X-ray and CT Imaging
- Higher Education Governance and Development
- School Choice and Performance
- Cardiomyopathy and Myosin Studies
- Acute Ischemic Stroke Management
- Employment and Welfare Studies
University of Michigan
2017-2025
Michigan Medicine
2017-2025
Brown University
2023-2025
University of Pittsburgh Medical Center
2025
Rochester General Hospital
2024
Cleveland Clinic
2024
Broad Institute
2024
Saint Joseph's University
2020-2023
Rush University Medical Center
2021
University of California, Davis
2020
Sociologists have long recognized that cultural differences help explain the perpetuation of inequality by invisibly limiting access to elite norms. However, there has been little investigation ways students reconcile shifts in habitus gained educational settings with existing, nonelite habitus. The authors use both qualitative and quantitative data examine navigate what Bourdieu called a “cleft habitus.” In particular, how low socioeconomic status experience contacts their families hometown...
Acute respiratory distress syndrome (ARDS) is a common, but under-recognised, critical illness associated with high mortality. An important factor in its under-recognition the variability chest radiograph interpretation for ARDS. We sought to train deep convolutional neural network (CNN) detect ARDS findings on radiographs.CNNs were pretrained 595 506 radiographs from two centres identify common (eg, opacity and effusion), then trained 8072 annotated by multiple physicians using various...
Abstract There is a growing gap between studies describing the capabilities of artificial intelligence (AI) diagnostic systems using deep learning versus efforts to investigate how or when integrate AI into real-world clinical practice support physicians and improve diagnosis. To address this gap, we four potential strategies for model deployment physician collaboration determine their impact on accuracy. As case study, examine an trained identify findings acute respiratory distress syndrome...
Tracheobronchomalacia (TBM) and excessive dynamic airway collapse (EDAC) are abnormalities that share a common feature of expiratory narrowing but distinct pathophysiologic entities. Both entities collectively referred to as central (ECAC). The malacia or weakness cartilage supports the tracheobronchial tree may occur only in trachea (ie, tracheomalacia), both bronchi (TBM), (bronchomalacia). On other hand, EDAC refers anterior bowing posterior membrane into lumen with intact cartilage....
This article examines class as a potential source of stigma faculty members from low-socioeconomic-status (low-SES) backgrounds. Based on 47 interviews with demographically diverse respondents at wide range institutions, the respondents’ narratives direct and indirect stigmatization around well efforts managing these stigmas. I find that describe primarily stigmas in which low-SES experiences concerns are minimized, covered over, or excluded favor normative presentation middle-class status...
The number of implanted devices such as orthopedic hardware and cardiac implantable continues to increase with an in the age patient population, well indications for specific devices. Many patients these have or will develop clinical conditions that are best depicted at MRI. However, containing paramagnetic ferromagnetic substances can cause significant artifact, which could limit diagnostic capability this modality. Performing imaging MRI when implant is present may be challenging, there...
Early diagnosis of lung cancer can significantly improve patient outcomes. We developed a Growth Predictive model based on the Wasserstein Generative Adversarial Network framework (GP-WGAN) to predict nodule growth patterns in follow-up LDCT scans. The GP-WGAN was trained with training set (N = 776) containing 1121 pairs images about 1-year intervals and deployed an independent test 450 nodules baseline scans (GP-nodules) their GP-nodules were finally classified as malignant or benign by...
Background: Acute ischemic stroke can result from extracranial arterial dissection. The effectiveness and safety of intravenous thrombolysis (IVT) for acute in these cases, particularly those involving large vessel occlusions, are debated. We conducted a systematic review metanalysis to assess the efficacy IVT patients with attributed Methods: This was registered PROSPERO (CRD42024499774). searched MEDLINE (OVID), EMBASE, web Science, SCOPUS inception 03/03/2024. Search terms included...
Social science research has long recognized the relevance of socioeconomic background for mobility and inequality. In this article we interrogate how why working-class first-generation backgrounds are especially meaningful take as our case in point professoriate discipline sociology, – i.e., a field that intellectually prioritizes attention to group inequality arguably offers conservative empirical test compared other academic fields. Our analyses, which draw on unique survey items...
Purpose To evaluate the feasibility of leveraging serial low-dose CT (LDCT) scans to develop a radiomics-based reinforcement learning (RRL) model for improving early diagnosis lung cancer at baseline screening. Materials and Methods In this retrospective study, 1951 participants (female patients, 822; median age, 61 years [range, 55-74 years]) (male 1129; 62 were randomly selected from National Lung Screening Trial between August 2002 April 2004. An RRL using LDCT (S-RRL) was trained...
Introduction: The safety and efficacy of intravenous thrombolysis (IVT) in cervical artery dissection-related acute ischemic stroke (CeAD-AIS) remains unclear. We performed a retrospective study data from the National Inpatient Sample investigating outcomes CeAD-AIS patients treated with without IVT. Methods: included adult hospitalized between 2016 to 2019. was defined by concurrent CeAD AIS diagnoses, identified ICD-10 codes. primary outcome home discharge. were inpatient death...
Objectives/Goals: The objective of this study is to explore strategies for AI-physician collaboration in diagnosing acute respiratory distress syndrome (ARDS) using chest X-rays. By comparing the diagnostic accuracy different AI deployment methods, aims identify optimal that leverage both and physician expertise improve outcomes. Methods/Study Population: analyzed 414 frontal X-rays from 115 patients hospitalized between August 15 October 2, 2017, at University Michigan. Each X-ray was...