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.
Heart attack patients aged 65 and up stay hospitalized longer than those aged 65 or under—yet the seniors ring up significantly smaller bills per stay. The bad news is that the “savings” likely come in the form of fewer percutaneous coronary interventions (PCIs, aka angioplasties) to open blocked heart arteries nonsurgically.
A team at Weill Cornell Medicine has developed an AI algorithm that can identify whether human embryos fertilized in vitro have the potential to progress to successful pregnancies, offering guidance as few as five days after an embryo is implanted.
The Veterans Administration is turning to computer scientists at Lawrence Berkeley National Laboratory—aka Berkeley Lab—for help reducing suicide among VA patients. To meet the challenge, the lab is using deep learning to analyze data in electronic health records, according to an item published online April 3 by Berkeley Lab’s news center.
California-based tech company Stayhealthy Inc. introduced a new mobile augmented reality (AR) app this April that’s geared toward engaging and immersing kids in learning about their own health.
Facial analysis enabled by AI is helping researchers assess mental health in a more objective way, relying on algorithms that detect behavioral biomarkers rather than subjective exams alone, the Wall Street Journal reported April 1.
Physicians and scientists in Germany have developed an artificial neural network that’s capable of interpreting brain MRI scans to tell physicians how brain tumors are responding to chemotherapy and radiation therapy, according to a study published in The Lancet Oncology.
Artificial intelligence is more effective at detecting cervical cancer than established lab tests, according to a pilot study out of Seoul, South Korea.
