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.
Researchers with the Georgia Institute of Technology have developed an open source, machine-learning tool that accurately predicted how cancer patients would respond to specific chemotherapy drugs.
CMS issued its year one performance results for participants in the Merit-based Incentive Payment System (MIPS), revealing that 93 percent of eligible clinicians received at least some positive payment adjustment for their 2017 performances.
In the era of AI and machine learning, it’s no surprise clinical decision support systems (CDSSs) are becoming more available to clinicians. However, there are several ways to make CDSSs more transparent, easier to use, and based on peer-reviewed scientific evidence.
Medicaid work requirements, which have been approved by CMS in a handful of states, could have dire consequences for the thousands of people who have lost their healthcare insurance coverage as a result of the programs, according to a non-partisan legislative branch agency.
Superbug infections could claim 2.4 million lives across Europe, North America and Australia over the next 30 years unless more is done to limit the growing antibiotic resistance. Fortunately, the issue could be stemmed for about $2 per person by investing in measures such as handwashing and prudent antibiotic prescription, according to the Organisation for Economic Co-operation and Development (OECD).
Deep-learning models trained to detect pneumonia from chest X-rays performed worse when tested on X-rays from outside their original hospital systems, suggesting AI tools should undergo a wide range of testing before being used in clinical settings.
