A5087223573- COVID-19 diagnosis using AI
- Vaccine Coverage and Hesitancy
- Artificial Intelligence in Healthcare and Education
- Palliative Care and End-of-Life Issues
- Health Systems, Economic Evaluations, Quality of Life
- Migration, Health and Trauma
- Cultural Competency in Health Care
- Lung Cancer Diagnosis and Treatment
- Economic and Financial Impacts of Cancer
- Global Cancer Incidence and Screening
- COVID-19 Clinical Research Studies
- Pediatric Urology and Nephrology Studies
- Radiomics and Machine Learning in Medical Imaging
- Influenza Virus Research Studies
- Trace Elements in Health
- Machine Learning in Healthcare
- Kidney Stones and Urolithiasis Treatments
- Data-Driven Disease Surveillance
- Multiple and Secondary Primary Cancers
- Substance Abuse Treatment and Outcomes
- Interpreting and Communication in Healthcare
- Long-Term Effects of COVID-19
- Global Health Care Issues
- Ureteral procedures and complications
- Advances in Oncology and Radiotherapy
Einstein Medical Center Philadelphia
2021-2023
Memorial Sloan Kettering Cancer Center
2022
Massachusetts Institute of Technology
2022
Brigham and Women's Hospital
2022
Einstein Healthcare Network
2022
University Medical Center
2020-2021
University of the Philippines System
2020-2021
University of the Philippines Manila
2020
Southeast Asia has a population of over 680 million people—approximately half the India and twice United States—and is region marked by rich complex histories cultures, dynamic growth, unique evolving health challenges.1 Despite momentum economic development, inequalities persist. These inequities have been aggravated since COVID-19 pandemic, which pushed millions further into poverty, possibly exacerbating disparities, especially among populations who suffer vulnerabilities.
Despite the progress in automatic detection of radiologic findings from chest X-ray (CXR) images recent years, a quantitative evaluation explainability these models is hampered by lack locally labeled datasets for different findings. With exception few expert-labeled small-scale specific findings, such as pneumonia and pneumothorax, most CXR deep learning to date are trained on global "weak" labels extracted text reports, or via joint image unstructured strategy. Inspired Visual Genome...
To provide adjusted rates of self-reported receipt the influenza vaccine in 2018-2019 flu season among adults large metropolitan, medium and small nonmetropolitan areas United States by age group, gender, race.
Abstract The unprecedented global crisis brought about by the COVID-19 pandemic has sparked numerous efforts to create predictive models for detection and prognostication of SARS-CoV-2 infections with goal helping health systems allocate resources. Machine learning models, in particular, hold promise their ability leverage patient clinical information medical images prediction. However, most published prediction thus far have little utility due methodological flaws lack appropriate...
Covid-19 in dementia: an insidious pandemicSir, Older age is a key risk factor for worse outcomes coronavirus disease 2019 [1].With national prevalence of 13.9% among those aged ≥71 [2], diagnosis dementia already vulnerable population may have implications on the assessment and management this acute infection.Our study aims to describe clinical course hospitalised patients with Covid-19.We identified 36 consecutive admitted at Hoboken University Medical Center from 16 March 11 April...
Culturally tailored interventions may reduce disparities in diabetes care. We conducted a nationally representative assessment of self-reported cultural competency measures care among patients with the United States.The 2017 National Health Interview Survey was queried for adults diabetes. Sample weight-adjusted multivariable logistic regressions defined adjusted odds ratios and 95% confidence intervals positive response to each while controlling relevant sociodemographic variables.2,448...
Pandemics have left indelible marks on medicine. The 1918 influenza accelerated the emergence of American medicine as a scientific enterprise.[1][1] HIV ushered in universal precautions minimum requirement for care every patient.[2][2] One defining impact COVID-19 might be
Bilateral ureteropelvic junction obstruction is a common cause of secondary hypertension in the pediatric population, often due to congenital malformation. On other hand, it less frequently encountered adult population and usually an acquired condition, most commonly by bilaterally obstructing nephrolithiasis causing hydronephrosis subsequent hypertension. The aim this study was investigate highlight underlying mechanisms which acute bilateral causes hypertensive crisis why early detection...
Introduction: In 2018, the prevalence of past or present hepatitis B virus (HBV) infection in United States was 4.3%. Evidence HBV highest among foreign-born adults. As 2012, vaccine-induced immunity 25% US. Meanwhile, CDC recommends vaccination for adults who are at-risk contracting infection, including sexually-active with more than one partner 6 months and those exposed to blood others. Methods: The NHIS queried respondents 2017—the only year which a set questions were included assess...
The unprecedented global crisis brought about by the COVID-19 pandemic has sparked numerous efforts to create predictive models for detection and prognostication of SARS-CoV-2 infections with goal helping health systems allocate resources. Machine learning models, in particular, hold promise their ability leverage patient clinical information medical images prediction. However, most published prediction thus far have little utility due methodological flaws lack appropriate validation. In...