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...
The volume of big data is projected to grow faster in healthcare than it will in other sectors over the next seven years, leaving healthcare organizations with the challenge of managing extremely large...
NYU School of Medicine’s Department of Radiology, in collaboration with Facebook AI Research (FAIR), are releasing a large-scale, open source MRI dataset as part of fastMRI, a project that...
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...
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...
The FDA is turning to cost-effective strategies and big data to accelerate clinical trial efficiency, medical product development, and innovations in artificial intelligence, according to a recent blog...
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...
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 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,...
Researchers from the Johns Hopkins University Applied Physics Laboratory (APL), together with collaborators at the Johns Hopkins School of Medicine, have developed a machine learning tool that can...
A deep learning tool identified melanoma in dermoscopic images with more accuracy than dermatologists, according to a study published in the Annals of Oncology.
The convolutional neural network (CNN)...
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...
