When applied to a clinical data registry, machine learning algorithms showed no significant improvement in predicting adverse outcomes after an acute myocardial infarction (AMI), a study published in...
Using smart speakers and machine learning algorithms, researchers from University of Washington (UW) have developed a way to monitor both regular and irregular heartbeats without physical contact.
In...
A new approach could help researchers build high-quality artificial intelligence algorithms while protecting patient data privacy, accelerating model development and innovation, according to a study...
Artificial intelligence can analyze electrical signals from the heart to predict which patients are at high risk of atrial fibrillation (AF) and stroke, according to a study published in...
After applying machine learning to EHR data, researchers found that dropping out of high school, having schizophrenia, or being diagnosed with a co-occurring personality disorder increases the...
Using machine learning, researchers found that people’s biases about COVID-19 and its treatments are exacerbated when they read tweets from other users, a study published in JMIR showed.
The...
Using a new data analytics approach, researchers could enhance cancer drug response predictions by accounting for overlooked variation across and within cancer types, a study published in PLOS...
Researchers at Thomas Jefferson University have developed a predictive analytics tool that can forecast the risk of post-surgical complications, helping providers to deliver more proactive, preventive...
Obesity, hypertension, diabetes, and heart failure are the chronic diseases that contribute to a majority of adult COVID-19 hospitalizations across the country, a study published in the Journal of the...
Machine learning tools analyzed hundreds of proteins and identified blood biomarkers that could speed the diagnosis of autism spectrum disorder (ASD), according to a study published in PLOS One.
ASD...
A data analytics model could help researchers evaluate the false-negative rate of COVID-19 tests by comparing the sensitivity of different viral DNA test kits, according to a study published in...
A deep learning tool was able to accurately predict survival expectancy in patients with lung cancer, potentially leading to more informed care decisions by providers, according to a study published in...
Scientists at the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory and the Linac Coherent Light Source (LCLS) at SLAC National Accelerator...
Fourteen leading healthcare providers are partnering to form Truveta, a new company that will leverage big data analytics for enhanced care insights.
Providers involved in the effort include...
Machine learning could help detect existing drugs that could help fight COVID-19, particularly in elderly populations, a study published in Nature Communications revealed.
One of the many major...
Of the many truths brought to light during the pandemic, the importance of providers’ voices is among the most consequential.
The experiences and daily operations of frontline healthcare workers...
Researchers at UPMC and the University of Pittsburgh School of Medicine have leveraged machine learning to develop a tool that predicts mortality for patients facing transfer between hospitals in order...
Data analytics tools have proven to be valuable assets in several areas of healthcare. From disease detection to workflow optimization, advanced analytics solutions have the potential to increase care...
Since the pandemic began, experts have looked to daily counts of laboratory-confirmed COVID-19 cases and deaths in an effort to contain the virus. Now, a machine learning algorithm has revealed that...
Artificial intelligence could help identify factors in EHR data that are predictive of poor COVID-19 outcomes and mortality, according to a study published in npj Digital Medicine.
The vast amount of...