Google has applied for a patent for a deep learning system that aggregates EHR data into a “timeline” in order to predict potential adverse events.
The “system and method for...
An artificial intelligence (AI) tool was able to analyze digital images of a woman’s cervix and identify precancerous changes with more accuracy than human experts.
Developed by researchers from...
The global market for artificial intelligence in healthcare is set for incredible growth over the next few years, according to new research from ReportLinker.
The AI in healthcare market is slated to...
A deep learning tool was able to replicate diagnostic scores for sleep staging, sleep apnea, and limb movements at a level of accuracy comparable to that of human clinicians, a study published in JAMIA...
Applying a deep learning model to knee magnetic resonance imaging (MRI) exams helped increase the accuracy and speed of knee injury classification, and could provide clinical decision support for...
There appear to be rosy days ahead for investors and vendors with interests in offering some of the most talk-about technologies to healthcare organizations.
The market for products and services...
Deep learning and natural language processing techniques can significantly improve the detection of adverse drug events (ADEs) in unstructured electronic health record (EHR) data, a study published in...
A deep learning model trained to identify pneumonia on a contained sample of medical images was unable to achieve the same level of accuracy when let loose on data from external healthcare systems,...
Artificial intelligence and machine learning have captivate the healthcare industry as these innovative analytics strategies become more accurate and applicable to a variety of tasks.
AI is...
Researchers at Google have developed a deep learning tool that can identify metastasized breast cancer with 99 percent accuracy and could reduce the time it takes for clinicians to review pathology...
Deep learning models have demonstrated early potential in improving healthcare analytics, but researchers still have to overcome significant challenges when using electronic health record (EHR) data to...
Maybe it takes one to know one – and maybe it takes one to train one.
Researchers at the Mayo Clinic, NVIDIA, and the MGH & BWH Center for Clinical Data Science are exploring how...
A deep learning platform designed to identify acute neurological conditions, including stroke, hemorrhage, and hydrocephalus, detected disease in CT scans in 1.2 seconds, or 150 times faster than human...
Researchers from DeepMind, a UK-based artificial intelligence company owned by Google, are progressing towards a clinical decision support product that can accurately identify more than fifty eye...
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 National Institutes of Health (NIH) Clinical Center has released a dataset of more than 32,000 medical images to help enhance the accuracy of lesion detection.
The dataset, called DeepLesion,...
Artificial intelligence and machine learning are quickly overhauling the processes of researching, purchasing, and implemented IT tools in the healthcare industry.
With new breakthroughs announced almost every day and thousands of...
Artificial intelligence is quickly gaining steam in the healthcare industry as pilots and limited deployments start to prove their value.
The progression of AI is so swift that more than half of...
