Search Results - "Duong, Tim Q"
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Prediction model and risk scores of ICU admission and mortality in COVID-19
Published in PloS one (30-07-2020)“…This study aimed to develop risk scores based on clinical characteristics at presentation to predict intensive care unit (ICU) admission and mortality in…”
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Deep transfer learning artificial intelligence accurately stages COVID-19 lung disease severity on portable chest radiographs
Published in PloS one (28-07-2020)“…This study employed deep-learning convolutional neural networks to stage lung disease severity of Coronavirus Disease 2019 (COVID-19) infection on portable…”
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Deep learning prediction of pathological complete response, residual cancer burden, and progression-free survival in breast cancer patients
Published in PloS one (06-01-2023)“…The goal of this study was to employ novel deep-learning convolutional-neural-network (CNN) to predict pathological complete response (PCR), residual cancer…”
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Deep learning applications to breast cancer detection by magnetic resonance imaging: a literature review
Published in Breast cancer research : BCR (24-07-2023)“…Deep learning analysis of radiological images has the potential to improve diagnostic accuracy of breast cancer, ultimately leading to better patient outcomes…”
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New‐onset and persistent neurological and psychiatric sequelae of COVID‐19 compared to influenza: A retrospective cohort study in a large New York City healthcare network
Published in International journal of methods in psychiatric research (01-09-2022)“…Objectives Neurological and neuropsychiatric manifestations of post‐acute SARS‐CoV‐2 infection (neuro‐PASC) are common among COVID‐19 survivors, but it is…”
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Deep learning combining FDG-PET and neurocognitive data accurately predicts MCI conversion to Alzheimer's dementia 3-year post MCI diagnosis
Published in Neurobiology of disease (15-10-2023)“…This study reports a novel deep learning approach to predict mild cognitive impairment (MCI) conversion to Alzheimer's dementia (AD) within three years using…”
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Machine learning with textural analysis of longitudinal multiparametric MRI and molecular subtypes accurately predicts pathologic complete response in patients with invasive breast cancer
Published in PloS one (17-01-2023)“…To predict pathological complete response (pCR) after neoadjuvant chemotherapy using extreme gradient boosting (XGBoost) with MRI and non-imaging data at…”
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Coronavirus Disease 2019 (COVID-19) Perinatal Outcomes Across the Pandemic at an Academic Medical Center in New York City
Published in Obstetrics and gynecology (New York. 1953) (01-01-2023)“…To investigate perinatal complications associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection during pregnancy in the four…”
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Radiogenomic classification for MGMT promoter methylation status using multi-omics fused feature space for least invasive diagnosis through mpMRI scans
Published in Scientific reports (25-02-2023)“…Accurate radiogenomic classification of brain tumors is important to improve the standard of diagnosis, prognosis, and treatment planning for patients with…”
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Deep learning prediction of likelihood of ICU admission and mortality in COVID-19 patients using clinical variables
Published in PeerJ (San Francisco, CA) (06-11-2020)“…This study aimed to develop a deep-learning model and a risk-score system using clinical variables to predict intensive care unit (ICU) admission and…”
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Patients with unmet social needs are at higher risks of developing severe long COVID-19 symptoms and neuropsychiatric sequela
Published in Scientific reports (02-04-2024)“…This study investigated long COVID of patients in the Montefiore Health System COVID-19 (CORE) Clinics in the Bronx with an emphasis on identifying health…”
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Deep-learning convolutional neural networks with transfer learning accurately classify COVID-19 lung infection on portable chest radiographs
Published in PeerJ (San Francisco, CA) (05-11-2020)“…Portable chest X-ray (pCXR) has become an indispensable tool in the management of Coronavirus Disease 2019 (COVID-19) lung infection. This study employed…”
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Long-short-term memory machine learning of longitudinal clinical data accurately predicts acute kidney injury onset in COVID-19: a two-center study
Published in International journal of infectious diseases (01-09-2022)“…•Machine-learning model accurately predicts acute kidney injury onset in patients with COVID-19.•The top predictors were glomerular filtration rate, lactate…”
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Functional status of mechanically ventilated COVID-19 survivors at ICU and hospital discharge
Published in Journal of intensive care (31-03-2021)“…A significant number of COVID-19 patients have been treated using invasive mechanical ventilation (IMV). The ability to evaluate functional status of COVID-19…”
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Characterizing non-critically ill COVID-19 survivors with and without in-hospital rehabilitation
Published in Scientific reports (26-10-2021)“…This study investigated pre-COVID-19 admission dependency, discharge assistive equipment, discharge medical follow-up recommendation, and functional status at…”
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Prophylactic versus therapeutic dose anticoagulation effects on survival among critically ill patients with COVID-19
Published in PloS one (19-01-2022)“…Although patients with severe COVID-19 are known to be at high risk of developing thrombotic events, the effects of anticoagulation (AC) dose and duration on…”
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Deep learning prediction of mild cognitive impairment conversion to Alzheimer's disease at 3 years after diagnosis using longitudinal and whole-brain 3D MRI
Published in PeerJ. Computer science (25-05-2021)“…While there is no cure for Alzheimer's disease (AD), early diagnosis and accurate prognosis of AD may enable or encourage lifestyle changes, neurocognitive…”
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Patients with prediabetes are at greater risk of developing diabetes 5 months postacute SARS-CoV-2 infection: a retrospective cohort study
Published in BMJ open diabetes research & care (01-06-2023)“…IntroductionPatients with prediabetes who contract SARS-CoV-2 infection (COVID-19) could be at higher risk of developing frank diabetes compared those who do…”
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Clinical predictors of recovery of COVID-19 associated-abnormal liver function test 2 months after hospital discharge
Published in Scientific reports (26-10-2022)“…This study investigated whether acute liver injury (ALI) persisted and identified predictors of ALI recovery [as indicated by alanine aminotransferase (ALT)…”
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