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.
The global excitement around healthcare’s embrace of AI and other developing technologies is not misplaced, but it needs to be tempered by an ongoing watchfulness for misuse.
Over the next 50 to 100 years, quantum computing will increasingly automate all manner of healthcare processes while biomaterials and genetic engineering drive regenerative medicine into everyday care.
There’s a lot of buzz about the applications of AI in the healthcare sector, but the innovations are still in infancy, leaving the potential use––and dangers––of AI in clinical settings unknown.
Researchers studying the basis of visual recognition in two distinct disciplines—computer science and brain science—have put their heads together to advance both fields at once.
Accenture, a global professional services company, has teamed up with Stockholm Exergi, one of Sweden’s largest energy suppliers, to put AI to the test in a new project aimed at addressing loneliness among seniors.
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.”
