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
Thumbnail

UCSF launches ‘Intelligent Imaging Hub,’ targets opioid addiction with grant money

UCSF’s Center for Intelligent Imaging will partner with Santa Clara, California-based NVIDIA to help build AI tools that can be used in everyday practice.

Thumbnail

Silicon Valley tech company gains FDA approval for AI-powered image cleanup tool

SubtleMR, as the product is called, is an image-processing software that deploys deep-learning algorithms to bolster images created by any scanner. 

Thumbnail

AI helps bust stroke, identify occlusions

Applied to head CT images, AI software can help speed diagnosis of ischemic stroke while also localizing large vessel occlusions when the latter are a culprit, according to a systematic review of studies published over a five-year period ending in February.

Thumbnail

AI system performs comparably to PI-RADS

A convolutional neural network (CNN) could potentially help with the detection and segmentation of suspicious findings on prostate MRI scans, according to new findings published in Radiology.

Thumbnail

How radiologists can avoid malpractice lawsuits when using AI

As the use of artificial intelligence continues to proliferate in healthcare, radiologists may be opening themselves up to a whole new set of liability concerns.

Thumbnail

How AI can help radiologists diagnose, treat kidney cancers

Machine learning models using radiomics can help radiologists classify renal cell carcinomas (RCCs), according to new findings published in the American Journal of Roentgenology.

Thumbnail

Radiology societies team up for new statement on ethics of AI

Numerous imaging societies, including the American College of Radiology (ACR) and RSNA, have published a new statement on the ethical use of AI in radiology.

FDA clears modules for AI-based CT solution from Siemens Healthineers

Siemens Healthineers announced Thursday, Sept. 26, that it has received FDA clearance for three modules of the company’s AI-Rad Companion Chest CT software.

Displaying 505 - 512 of 748

Around the web

Health Imaging
Nearly $800,000 settlement offered to family of man who died during MRI exam

The patient, who was being cared for in the ICU, was not accompanied or monitored by nursing staff during his exam, despite being sedated.

Cardiovascular Business
Global shortage of nuclear imaging isotopes may be over

The nuclear imaging isotope shortage of molybdenum-99 may be over now that the sidelined reactor is restarting. ASNC's president says PET and new SPECT technologies helped cardiac imaging labs better weather the storm.

Cardiovascular Business
‘A huge win’: CMS significantly increases Medicare payments for cardiac CT

CMS has more than doubled the CCTA payment rate from $175 to $357.13. The move, expected to have a significant impact on the utilization of cardiac CT, received immediate praise from imaging specialists.