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.
One of the biggest imaging OEMs is offering healthcare providers using its radiography systems a third party’s AI toolset for detecting lung abnormalities.
Harvard researchers have demonstrated a way to cut through tangles of irrelevant information in electronic health records (EHRs) while applying machine learning to spot patterns indicative of specific disease markers.
For AI to make a truly damaging dent in COVID-19’s armor, developers need to better connect big-data analytics with regularly refreshed input from frontline healthcare workers.
In a pilot study of 16 patients, the system’s recommendations were deemed safe by expert endocrinologists at a clip of more than 99% over the course of four weeks.
Machine learning is playing a key role in predicting all major forms of drug cardiotoxicity, potentially helping reduce late-stage clinical trial failures.
Compensation for heart specialists continues to climb. What does this say about cardiology as a whole? Could private equity's rising influence bring about change? We spoke to MedAxiom CEO Jerry Blackwell, MD, MBA, a veteran cardiologist himself, to learn more.
The American College of Cardiology has shared its perspective on new CMS payment policies, highlighting revenue concerns while providing key details for cardiologists and other cardiology professionals.
As debate simmers over how best to regulate AI, experts continue to offer guidance on where to start, how to proceed and what to emphasize. A new resource models its recommendations on what its authors call the “SETO Loop.”
