Artificial intelligence (AI) developed at the Cleveland Clinic uses machine learning to combine medical scans and electronic health records (EHR) generating personalized radiation therapy doses for...
Machine learning algorithms can rapidly analyze biopsy images and reduce the time it takes to diagnose gut diseases in children, revealed a study published in JAMA Network Open.
Sana Syed, assistant...
Deep learning continues to demonstrate its ability to enhance providers’ expertise and analysis.
In a study published in Nature Communications, researchers from the University of California,...
In the quest to get ahead of costly health events for high-risk individuals, identifying elevated levels of emotional and psychological stress may be just as important as documenting more traditional...
No longer the exclusive provenance of researchers and academics, artificial intelligence is quickly filtering into the everyday clinical setting.
From supporting radiologists to enhancing the...
Researchers at Lawrence Berkeley National Laboratory (Berkeley Lab) are working with the Department of Veterans Affairs and Department of Energy (DOE) to apply deep learning strategies to the...
The Agency for Healthcare Research and Quality (AHRQ) has announced a challenge competition to find new ways of applying predictive analytics to hospital inpatient data, which can help forecast trends...
CMS is launching its Artificial Intelligence Health Outcomes Challenge, an industry competition aimed at accelerating innovation in the healthcare analytics space.
“The Artificial Intelligence...
Machine learning algorithms can offer effective risk stratification to identify individuals at elevated risk of an opioid overdose, says a new study published in JAMA Network Open this month.
A...
With competition heating up in a rapidly changing, consumer-driven environment, healthcare organizations are increasingly investigating how to integrate artificial intelligence into their clinical...
Cleveland Clinic has established the Center for Clinical Artificial Intelligence, an innovation hub focused on applying machine learning to healthcare.
According to Crain’s Cleveland Business,...
Artificial intelligence is quickly taking root in the healthcare ecosystem by supporting better clinical and financial decision-making.
Providers and executives now have access to much more...
The market for healthcare artificial intelligence tools is expected to surpass $34 billion by the middle of the 2020s, driven largely by a growing desire to automate tasks and harness deeper insights...
Facebook and NYU School of Medicine’s Department of Radiology have announced a new collaborative research project that will study the use of artificial intelligence (AI) to make MRI scans up to...
The University of California, Irvine (UCI) and UCI Health System have launched the UCI Center for Artificial Intelligence in Diagnostic Medicine, which will leverage machine learning tools in all areas...
The market for artificial intelligence (AI) tools to process and analyze medical imaging studies is slated to push past $2 billion by 2023, according to a new report from Signify Research.
Healthcare...
Artificial intelligence and machine learning tools have the potential to analyze large datasets and extract meaningful insights to enhance patient outcomes, an ability that is proving helpful in...
The FDA has cleared one of the first artificial intelligence algorithms intended to provide clinical decision support at the point of care, officials announced this week.
Imagen’s...
In what seems like just a matter of months, artificial intelligence has become the number one topic of discussion in the health IT industry.
Machine learning, neural networks, deep learning, and...
The FDA’s recent guidance on classifying and regulating clinical decision support (CDS) systems is currently too ambiguous for developers to effectively follow, contends the the American...
