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Mashup Score: 0eClinicalWorks Brings ChatGPT and AI Models into EHR and Practice Management Solution - 11 month(s) ago
April 17, 2023 — eClinicalWorks, an ambulatory cloud EHR, today announced it is advancing its intelligent cloud technology with the power of AI — keeping usability, security, and patient safety the top priority. eClinicalWorks recently committed $100 million to Microsoft Azure cloud services. This significant investment gives eClinicalWorks access to the latest innovations available with…
Source: DAICCategories: Cardiologists, Latest HeadlinesTweet
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Mashup Score: 2Microcirculatory alterations in critically ill COVID-19 patients analyzed using artificial intelligence - Critical Care - 1 year(s) ago
Background The sublingual microcirculation presumably exhibits disease-specific changes in function and morphology. Algorithm-based quantification of functional microcirculatory hemodynamic variables in handheld vital microscopy (HVM) has recently allowed identification of hemodynamic alterations in the microcirculation associated with COVID-19. In the present study we hypothesized that…
Source: BioMed CentralCategories: Critical Care, Latest HeadlinesTweet
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Mashup Score: 0Personalized medicine in the ICU - 2 year(s) ago
Thematic Series After so many negative randomized, controlled trials, that have evaluated a number of simplified therapeutic interventions that could be applied to large patient populations, people are turning their interest back to personalized medicine.This new Thematic Series will share thoughts based on scientific data and help the clinician to individualize the…
Source: www.biomedcentral.comCategories: Critical Care, Latest HeadlinesTweet
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Mashup Score: 2Nationwide Study of 100 Million Hospitalizations Finds Percutaneous Coronary Intervention is Safe for Cardio-oncology Patients - 2 year(s) ago
May 23, 2022 — New data from a study of more than 100 million hospitalizations using machine learning augmentation was presented at the Society for Cardiovascular Angiography & Interventions (SCAI) 2022 Scientific Sessions. The findings reveal percutaneous coronary intervention (PCI) is safe and increasing among cancer patients. Cardio-oncology is a field within cardiology that focuses on the…
Source: DAICCategories: Cardiologists, Latest HeadlinesTweet
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Mashup Score: 2Wolters Kluwer Health - 2 year(s) ago
JavaScript Error JavaScript has been disabled on your browser. You must enable it to continue. Here’s how to enable JavaScript in the following browsers: Internet Explorer From the Tools menu, select Options Click the Content tab Select Enable…
Source: lww.comCategories: Critical Care, Latest HeadlinesTweet
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Mashup Score: 1Early prediction of hemodynamic interventions in the intensive care unit using machine learning - Critical Care - 2 year(s) ago
Background Timely recognition of hemodynamic instability in critically ill patients enables increased vigilance and early treatment opportunities. We develop the Hemodynamic Stability Index (HSI), which highlights situational awareness of possible hemodynamic instability occurring at the bedside and to prompt assessment for potential hemodynamic interventions. Methods We used an ensemble of…
Source: Critical CareCategories: Critical Care, Latest HeadlinesTweet
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Mashup Score: 0Machine-learning-based COVID-19 mortality prediction model and identification of patients at low and high risk of dying - Critical Care - 3 year(s) ago
Background The coronavirus disease 2019 (COVID-19) pandemic caused by the SARS-Cov2 virus has become the greatest health and controversial issue for worldwide nations. It is associated with different clinical manifestations and a high mortality rate. Predicting mortality and identifying outcome predictors are crucial for COVID patients who are critically ill. Multivariate and machine learning…
Source: Critical CareCategories: Critical Care, Latest HeadlinesTweet
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Mashup Score: 1Machine learning identifies ICU outcome predictors in a multicenter COVID-19 cohort - Critical Care - 3 year(s) ago
Background Intensive Care Resources are heavily utilized during the COVID-19 pandemic. However, risk stratification and prediction of SARS-CoV-2 patient clinical outcomes upon ICU admission remain inadequate. This study aimed to develop a machine learning model, based on retrospective & prospective clinical data, to stratify patient risk and predict ICU survival and outcomes. Methods A…
Source: Critical CareCategories: Critical Care, Latest HeadlinesTweet
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Mashup Score: 1
Background Usually, arterial oxygenation in patients with the acute respiratory distress syndrome (ARDS) improves substantially by increasing the level of positive end-expiratory pressure (PEEP). Herein, we are proposing a novel variable [PaO2/(FiO2xPEEP) or P/FPE] for PEEP ≥ 5 to address Berlin’s definition gap for ARDS severity by using machine learning (ML) approaches. Methods We examined…
Source: Critical CareCategories: Critical Care, Latest HeadlinesTweet
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Mashup Score: 5
Background Usually, arterial oxygenation in patients with the acute respiratory distress syndrome (ARDS) improves substantially by increasing the level of positive end-expiratory pressure (PEEP). Herein, we are proposing a novel variable [PaO2/(FiO2xPEEP) or P/FPE] for PEEP ≥ 5 to address Berlin’s definition gap for ARDS severity by using machine learning (ML) approaches. Methods We examined…
Source: Critical CareCategories: Critical Care, Latest HeadlinesTweet
@DAICeditor @eClinicalWorks Integration with #ChatGPT, cognitive services, and #machine_learning models will increase value to customers: https://t.co/MrXJrDSOAw #HIMSS23