A5045788180- COVID-19 and healthcare impacts
- COVID-19 Clinical Research Studies
- Machine Learning in Healthcare
- Atrial Fibrillation Management and Outcomes
- COVID-19 diagnosis using AI
- Acute Ischemic Stroke Management
- Long-Term Effects of COVID-19
- ECG Monitoring and Analysis
- Cardiac Arrhythmias and Treatments
- Cardiac Imaging and Diagnostics
- Sepsis Diagnosis and Treatment
- Heart Rate Variability and Autonomic Control
- Cardiac pacing and defibrillation studies
- Traumatic Brain Injury and Neurovascular Disturbances
- Acute Myocardial Infarction Research
- Cerebrospinal fluid and hydrocephalus
- Cardiovascular Function and Risk Factors
- Venous Thromboembolism Diagnosis and Management
- Cardiovascular Issues in Pregnancy
- Gastric Cancer Management and Outcomes
- Kawasaki Disease and Coronary Complications
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Gastrointestinal Tumor Research and Treatment
- Protease and Inhibitor Mechanisms
- Phonocardiography and Auscultation Techniques
Mount Sinai Health System
2019-2021
Hasso Plattner Institute
2020-2021
Icahn School of Medicine at Mount Sinai
2019-2021
Rogers (United States)
2021
Advisory Board Company (United States)
2021
Mount Sinai Hospital
2020
Digital Health Cooperative Research Centre
2020
University of Rochester
2016-2018
Background COVID-19 has infected millions of people worldwide and is responsible for several hundred thousand fatalities. The pandemic necessitated thoughtful resource allocation early identification high-risk patients. However, effective methods to meet these needs are lacking. Objective aims this study were analyze the electronic health records (EHRs) patients who tested positive admitted hospitals in Mount Sinai Health System New York City; develop machine learning models making...
ABSTRACT Background The coronavirus 2019 (Covid-19) pandemic is a global public health crisis, with over 1.6 million cases and 95,000 deaths worldwide. Data are needed regarding the clinical course of hospitalized patients, particularly in United States. Methods Demographic, clinical, outcomes data for patients admitted to five Mount Sinai Health System hospitals confirmed Covid-19 between February 27 April 2, 2020 were identified through institutional electronic records. We conducted...
STRUCTURED ABSTRACT Background The degree of myocardial injury, reflected by troponin elevation, and associated outcomes among hospitalized patients with Coronavirus Disease (COVID-19) in the US are unknown. Objectives To describe injury a large cohort laboratory-confirmed COVID-19. Methods Patients COVID-19 admitted to one five Mount Sinai Health System hospitals New York City between February 27th April 12th, 2020 troponin-I (normal value <0.03ng/mL) measured within 24 hours admission...
This study sought to develop DL models capable of comprehensively quantifying left and right ventricular dysfunction from ECG data in a large, diverse population. Rapid evaluation function using deep learning (DL) on electrocardiograms (ECGs) can assist diagnostic workflow. However, tools estimate (RV) do not exist, whereas those (LV) are restricted quantification very low LV only. A multicenter was conducted with 5 New York City hospitals: 4 for internal testing 1 serving as external...
The COVID-19 pandemic is a global public health crisis, with over 33 million cases and 999 000 deaths worldwide. Data are needed regarding the clinical course of hospitalised patients, particularly in USA. We aimed to compare characteristic patients who had in-hospital mortality those were discharged alive.Demographic, outcomes data for admitted five Mount Sinai Health System hospitals confirmed between 27 February 2 April 2020 identified through institutional electronic records. performed...
Abstract Coronavirus 2019 (COVID-19), caused by the SARS-CoV-2 virus, has become deadliest pandemic in modern history, reaching nearly every country worldwide and overwhelming healthcare institutions. As of April 20, there have been more than 2.4 million confirmed cases with over 160,000 deaths. Extreme case surges coupled challenges forecasting clinical course affected patients necessitated thoughtful resource allocation early identification high-risk patients. However, effective methods...
Background and objectives AKI treated with dialysis initiation is a common complication of coronavirus disease 2019 (COVID-19) among hospitalized patients. However, supplies personnel are often limited. Design, setting, participants, & measurements Using data from adult patients COVID-19 five hospitals the Mount Sinai Health System who were admitted between March 10 December 26, 2020, we developed validated several models (logistic regression, Least Absolute Shrinkage Selection Operator...
Abstract Aims Clinical scoring systems for pulmonary embolism (PE) screening have low specificity and contribute to computed tomography angiogram (CTPA) overuse. We assessed whether deep learning models using an existing routinely collected data modality, electrocardiogram (ECG) waveforms, can increase PE detection. Methods results create a retrospective cohort of 21 183 patients at moderate- high suspicion associate 23 793 CTPAs (10.0% PE-positive) with 320 746 ECGs encounter-level clinical...
BackgroundFibrous cap thickness (FCT), best measured by intravascular optical coherence tomography (OCT), is the most important determinant of plaque rupture in coronary arteries. Statin treatment increases FCT and thus reduces likelihood acute events. However, substantial statin-related increase occurs only a subset patients. Currently, there are no methods to predict which patients will benefit. We use transcriptomic data from clinical trial rosuvastatin if patient's response statin...
Abstract Background Rapid evaluation of left and right ventricular function using deep learning (DL) on electrocardiograms (ECG) can assist diagnostic workflow. However, DL tools to estimate (RV) do not exist, while ones (LV) are restricted quantification very low LV only. Objectives This study sought develop models capable comprehensively quantifying dysfunction from ECG data in a large, diverse population. Methods A multi-center was conducted with five New York City hospitals; four for...
Objective: The goal of this study was to investigate how manipulation the RAA axis, both with angiotensin and common anti-hypertensive pharmacotherapy, influences glymphatic flow. Background: CNS possesses astrocyte-dependent perivascular pathway facilitate CSF-ISF exchange clearance interstitial wastes. Cerebral arterial pulsations drive flow, cerebrovascular pulsatility is dependent, at least in part, on systemic blood pressure. Renin-angiotensin-aldosterone axis dysregulation...
Background and Objective: The CNS possesses the astrocyte-dependent perivascular glymphatic pathway to facilitate CSF-ISF exchange clearance of interstitial wastes. Cerebral arterial pulsations drive flow, cerebrovascular pulsatility is dependent, at least in part, on systemic blood pressure. Renin-angiotensin-aldosterone axis dysregulation responsible for hypertension, a condition that affects nearly 30% US population 40% individuals globally. Here, we investigate how manipulation RAA axis,...
A 54 year old woman with a history of paroxysmal atrial fibrillation (afib) and myasthenia gravis (MG) was referred to our clinic for gastroparesis (GP) exacerbation. Her medications included cellcept, mestinon, prednisone IV immunoglobulin. She diagnosed GP on prior gastric emptying study, but had been asymptomatic diet alone. failed two radiofrequency ablations (RFA) afib, therefore underwent third cardiac cryoablation (CRYO) all four pulmonary veins. The procedure done general anesthesia...
INTRODUCTION: Merkel cell carcinoma (MCC) is a rare neuroendocrine carcinoma. It predominately seen on sun-exposed areas in elderly patients or immunocompromised populations. About 80% of cases are associated with polyomavirus, suggesting viral-induced oncogenesis. The most common presentation rapidly growing pink-red, dome-shaped nodule the skin. We present case metastatic MCC diagnosed by endoscopic ultrasound an incidentally discovered portacaval lymph node. CASE DESCRIPTION: An...
INTRODUCTION: Duodenal adenocarcinomas are rare aggressive epithelial derived neoplasms, representing <1% of all gastrointestinal cancers with a dismal 5-year survival <30%. Even more uncommon primary adenocarcinoma, lymphoma or metastases presenting as sub-epithelial tumors (SET). EUS FNA plays vital role in the evaluation SET and may reveal above mentioned hypoechoic, heterogeneous lesion any wall layers. guided fiducial placement facilitates image radiation to various GI tumors. Here we...
Renal Cell Carcinoma (RCC) is the most common cause of renal malignancy among adults, with about 65,000 cases reported in U.S. annually. While surgery primary treatment for localized disease, 40% still develop metastasis and 10% late after 5 years. The lung, liver, bone brain represent sites metastasis. Here we present a case recurrent RCC rare occurrence metastatic disease involving colon. A 62-year-old male history papillary developed abrupt onset hematochezia anemia. He was admitted to...
<sec> <title>BACKGROUND</title> COVID-19 has infected millions of people worldwide and is responsible for several hundred thousand fatalities. The pandemic necessitated thoughtful resource allocation early identification high-risk patients. However, effective methods to meet these needs are lacking. </sec> <title>OBJECTIVE</title> aims this study were analyze the electronic health records (EHRs) patients who tested positive admitted hospitals in Mount Sinai Health System New York City;...