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. 

Thumbnail

How to integrate AI into the cardiac imaging pipeline

Artificial intelligence may be perceived as a threat to some physicians, but, according to research presented at the Radiological Society of North America’s annual meeting in Chicago, it could have some real use for cardiologists.

Thumbnail

Can virtual reality keep teens from vaping?

Researchers from the Yale Center for Health and Learning Games are hoping they can keep some teenagers from vaping with an assist from virtual reality (VR).

Thumbnail

Amazon launches new AI-powered transcription service for healthcare

Amazon Web Services (AWS) has announced a new AI-powered medical transcription service, Amazon Transcribe Medical, designed to improve clinical documentation for healthcare providers.

Thumbnail

AI predicts patients' future healthcare costs from chest x-rays

The technique combines AI with patient-specific health and cost information for a rough estimate on an individual's five-year healthcare expenditures.

Thumbnail

RSNA names winners of intracranial hemorrhage AI challenge

The challenge tasked teams with developing an algorithm capable of identifying and classifying subtypes of hemorrhages on head CT scans.

Thumbnail

RSNA 2019: Disruption wrought by AI to bring opportunity, danger to radiology

If practices make the right moves around technology, the business outcome will help lift the specialty’s value and expand its markets.

Thumbnail

NVIDIA launches new federated learning solution for training AI models

NVIDIA has unveiled a new solution at RSNA 2019 in Chicago, one that encourages the development of new AI models while keeping patient data in the hands of healthcare providers.

Thumbnail

How VR can make a significant impact on stroke survivors

Virtual reality (VR) can help stroke survivors comply with home-based therapy and exercise programs, according to new research published in the Archives of Physical Medicine and Rehabilitation. Multi-user (MU) VR sessions were found to be more effective than single-user (SU) VR sessions.