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.
Amazon has extended a grant valued at $2 million to Harvard Medical School so the medical giant can experiment with machine learning and AI to streamline their clinical workflow, Bloomberg reported March 4.
Researchers from the Icahn School of Medicine at Mount Sinai have developed an AI platform that’s reportedly capable of detecting a range of neurodegenerative diseases in human brain tissue samples, according to a study published in the February issue of Laboratory Investigation.
Using big data and AI-driven prediction models can be clinically useful, but it’s also important to learn about that data and the processes involved in collecting it, according to work published in JAMA Psychiatry.
Researchers at the Children’s Hospital of Philadelphia (CHOP) developed machine learning models that can detect the presence of sepsis in infants, hours before physicians. Findings from the study were published inPLOS One.
Though AI systems have shown promise for detecting skin cancer, more work is needed before they can be utilized in “real world” applications, according to researchers at the 2019 American Academy of Dermatology annual meeting in Washington, D.C.
OOVA, a Mount Sinai Health System spinout and diagnostic device company, is piloting an AI-based fertility tool that measures and monitors the concentrations of luteinizing hormone and progesterone—two key fertility hormones. The program is being piloted in collaboration with Thorne Research.
Researchers at the University of California, San Francisco found Google Translate, Google’s AI-based app, can help non-English speaking patients and their providers. However, it's not perfect, according to research published inJAMA Internal Medicine.
A new machine learning-based system, detailed in the journal Frontiers in Neurology, screens children for fetal alcohol spectrum disorder (FASD) in a quick and more cost-efficient way. The system was developed by researchers at the University of Southern California, Queen’s University in Ontario and Duke University, and will be accessible to children in more remote areas of the globe.
