Also called personalized medicine, this evolving field makes use of an individual’s genes, lifestyle, environment and other factors to identify unique disease risks and guide treatment decision-making.
Masimo's MightySat Medical is the first FDA-cleared pulse oximeter available to consumers without a prescription, which could disrupt the market for the notoriously inaccurate at-home devices.
MediView’s technologies utilize AR to provide clinicians with 3D “X-ray vision” guidance during minimally invasive procedures and surgeries, while also offering remote collaboration.
Cerner Corporation, one of the nation’s largest electronic health records platforms, has partnered with Uber Health to improve non-emergency transportation that can be included in the patient record.
Deep convolutional neural networks (CNNs) can be trained to predict sequence types for brain MR images, according to new research published in the Journal of Digital Imaging.
Regina Barzilay, PhD, a professor at the Massachusetts Institute of Technology, has been working closely with AI technologies to improve breast cancer care ever since she was diagnosed with the disease in 2014.
A lung cancer researcher from Dartmouth College has received a $1.5 million grant from the National Cancer Institute to build and validate machine leaning approaches to develop better, more personalized cancer treatments.
The combination of machine learning and ultrasound could help healthcare providers with the diagnosis of thyroid nodules, according to new findings published in JAMA Otolaryngology.
