Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

RSS icon

FDA clears hands-free robotic system for CT exams

XACT Robotics, a radiology technology company with offices in Hingham, Massachusetts, and Israel, received FDA clearance for the use of its hands-free robotic system during CT examinations.

Thumbnail

Majority of consumers hope to use voice assistants for healthcare

Just 7.5% of consumers in the United States have used voice assistant technology—Amazon’s Alexa, for example—for healthcare. According to a new report, however, 52% want to use it for that purpose in the future.

Thumbnail

Siemens Healthineers finalizes $1.1B robotics acquisition

Siemens Medical Solutions, a wholly-owned subsidiary of Siemens Healthineers AG, has completed its acquisition of 100% of Waltham, Massachusetts-based Corindus Vascular Robotics. The deal, which was for $1.1 billion, was first announced back in August.

Thumbnail

care.ai, NVIDIA collaborate on AI-powered hospital room solutions

Just days after launching a partnership with Google, care.ai has announced that it is now working with NVIDIA to improve patient care.

Thumbnail

Google, care.ai join forces to build safer hospital rooms

Google and care.ai have announced a new partnership focused on bringing autonomous monitoring technology to hospitals environments.

Thumbnail

How racial bias can sink an algorithm’s effectiveness

Researchers have detected racial bias in an algorithm commonly used by health systems to make decisions about patient care, according to a new study published in Science.

Thumbnail

Microsoft, Nuance using AI to ‘power the exam room of the future’

Microsoft and Nuance Communications announced Thursday, Oct. 17, a collaboration on ambient clinical intelligence (ACI) solutions designed for healthcare providers.

Thumbnail

NVIDIA, King’s College London develop federated learning system for medical imaging

Researchers from NVIDIA and King’s College London have collaborated on a new federated learning system specifically designed for the interpretation of medical images.

Displaying 545 - 552 of 958

Around the web

Cardiovascular Business
Q&A: MedAxiom CEO explores key trends in cardiologist, cardiovascular surgeon compensation

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.

Cardiovascular Business
Payment cuts and beyond: Key takeaways for cardiologists from the 2025 Medicare Physician Fee Schedule

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. 

AI in Healthcare
A modest proposal to rally AI regulators around a simple game plan

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.”