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.
A Harvard undergrad has created a computer program that can improve the treatment of tuberculosis, an infectious disease with unique challenges thanks to its shapeshifting ability to resist drugs.
Blockchain technology is already expected to have a major impact in the healthcare space, and the wearables sector could do with an injection of the technology, as well, writes Lucas Mearian for ComputerWorld.
A machine-learning algorithm has surpassed four commonly used methods for catching sepsis early in hospital patients, giving clinicians up to 48 hours to intervene before the condition has a chance to begin turning dangerous.
Healthcare technology moves at lightning speed, with AI and machine learning at the forefront of innovation. Right alongside these new discoveries is blockchain technology, which was popularized through the rise of cryptocurrency, and is seeing its own emergence in healthcare.
If AI is to find a foothold across the worldwide healthcare ecosystem, it will need to rest on research into how it may affect the emerging realm of participatory medicine.
Safeway stores in Arizona are opening health clinics that combine AI, augmented reality and telemedicine to offer grocery shoppers a convenient way to be seen for illnesses and injuries.
Using deep learning to tease out factors indicative of age-related variability in the way toddlers gaze at visual stimuli, researchers at the University of Minnesota have shown that the technology can accurately distinguish 18-month-olds from 30-month-olds.
