A new technique enables clinicians to train machine learning models while preserving patient data privacy and could advance the field of brain imaging, according to a study published in Scientific...
Artificial intelligence can use information available in the emergency room to predict the kind of bacteria that is causing infection in patients with pneumonia, according to research presented at the...
Patient safety, data privacy, and health equity are key considerations for the use of chatbots powered by artificial intelligence in healthcare, according to a viewpoint piece published in JAMA.
With...
As the healthcare industry has increasingly aimed to deliver proactive, quality care, predictive analytics models have emerged as viable tools for improving outcomes and cutting costs.
From mapping...
A team from the University of Virginia (UVA) has received a five-year, $3.2 million NIH grant to build predictive models that analyze interactions between mucus and bacteria.
The research will focus...
Artificial intelligence tools have played a pivotal role in the COVID-19 pandemic thus far, helping researchers and healthcare organizations identify hot spots, prepare for potential resource gaps, and...
In the midst of a situation as uncertain as the COVID-19 pandemic, the healthcare industry has sought to use big data and predictive analytics tools to better understand the virus and its spread.
For...
The potential for artificial intelligence to advance medical imaging and radiology has been well-documented in healthcare research.
From earlier detection and more accurate assessments, to less...
An innovative imaging analytics method helped researchers categorize subgroups of schizophrenia patients using functional magnetic resonance imaging (fMRI) data, according to a study published in...
A team from the Lawrence J. Ellison Institute for Transformative Medicine of USC have developed a technique to train a deep learning algorithm for improved cancer diagnostics.
In a study published in...
An artificial intelligence algorithm can analyze electroencephalograph (EEG) electrodes to detect a seizure and accurately pinpoint its location, according to a study published in Scientific...
Researchers from Binghamton University, State University of New York have developed several predictive analytics models to examine COVID-19 trends and patterns around the world.
For more coronavirus...
Researchers at Stanford University have developed a machine learning tool that can improve the interpretation of CT lung cancer images and determine the severity of the disease.
Lung cancer is the...
Researchers from Vanderbilt University leveraged unsupervised and automated machine learning techniques to analyze millions of cancer cells and identify new cancer cell types in brain tumors.
The...
An open-source machine learning tool identified proteins associated with adverse drug side effects, providing insight into how the human body responds to drug compounds at the molecular level, a study...
Building predictive models with patient data – such as history of comorbidities and medications – can determine the five- to ten-year life expectancy of older people with diabetes and help...
Parkland Center for Clinical Innovation (PCCI) has developed a big data analytics dashboard to accurately identify communities at high risk for COVID-19 infection.
For more coronavirus updates,...
Johns Hopkins Medicine (JHM) and Microsoft Azure have announced a partnership to leverage Microsoft’s artificial intelligence and analytics tools for accelerated precision medicine...
Howard University College of Medicine’s 1867 Health Innovations Project and AARP Innovation Labs will leverage artificial intelligence and data analytics to boost chronic disease management in...
A clinical decision support system that leverages machine learning techniques could help patients control their glucose levels and enhance type 1 diabetes management, according to a study published in...
