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.

5 ways AI can help make healthcare more affordable for everyone
The people who can least afford healthcare are often among those who need healthcare the most.
Healthcare AI newswatch: Regulatory sparring partners, AI nutrition labels, agentic AI basics, more
Medical device companies navigating regulatory pathways should know: Large language models are not reliable guides.
HIMSS survey report: Beware insider threats to cybersecurity involving AI
Almost one in three healthcare organizations allow their people to use AI without formal restrictions.
Cleerly and Bunkerhill Health unite in the name of AI-based cardiac imaging evaluations
Hospitals that partner with either company will now experience the benefits of both, learning more about the long-term heart health of their patients than ever before.
AI reduces CT lung cancer screening workload by nearly 80%
And it can do so with almost 100% accuracy as a first reader, according to a new large-scale analysis.

artificial intelligence AI can lower healthcare costs

5 ways AI can help make healthcare more affordable for everyone

The people who can least afford healthcare are often among those who need healthcare the most.

Artificial intelligence AI in healthcare news

Healthcare AI newswatch: Regulatory sparring partners, AI nutrition labels, agentic AI basics, more

Medical device companies navigating regulatory pathways should know: Large language models are not reliable guides.

artificial intelligence AI in healthcare cybersecurity

HIMSS survey report: Beware insider threats to cybersecurity involving AI

Almost one in three healthcare organizations allow their people to use AI without formal restrictions.

Cleerly and Bunkerhill Health unite in the name of AI-based cardiac imaging evaluations

Hospitals that partner with either company will now experience the benefits of both, learning more about the long-term heart health of their patients than ever before.

AI reduces CT lung cancer screening workload by nearly 80%

And it can do so with almost 100% accuracy as a first reader, according to a new large-scale analysis.

Evan Scott Shlofmitz, DO, Director of Intravascular Imaging, St. Francis Hospital, in Roslyn, New York, explains how he uses Heartflow's artificial intelligence technology to assess a patient's coronary artery disease from noninvasive CT scans to preplan PCI procedures.

How AI and CCTA help heart teams plan ahead before PCI

Evan Shlofmitz, DO, director of intravascular imaging at St. Francis Hospital, explains how advanced artificial intelligence technology is used to assess a patient's CT scan before they undergo PCI.

Researchers overseas: ‘Radiology has become indispensable to dermatology’

Dermatologists increasingly rely on medical imaging modalities—especially but not solely ultrasound—to help diagnose complex and diverse skin disorders.

Academic health system working on AI dictation feature for Epic

Chicago-based Rush University System for Health is collaborating with Suki on its development. The two previously partnered on a pilot for an AI clinician assistant, which has since been rolled out across the health system.