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

AI makes biopsy recommendations comparable to expert radiologists

Deep learning algorithms can manage thyroid nodules on ultrasound (US) images at a level comparable to expert radiologists, according to new research published in Radiology.

Thumbnail

AI predicts heart attacks better than existing risk models

Machine learning (ML) can help healthcare providers predict heart disease—including heart attacks—better than other popular risk models, according to new research published in Radiology.

Thumbnail

How AI can improve patient care in radiation oncology

As AI technologies continue to evolve, they may be able to make a significant impact on patient care by reducing the amount of time physicians spend sorting through paperwork and documentation.

Thumbnail

AI uses mammography data, health records to predict breast cancer

Researchers have developed an algorithm that predicts breast malignancy using a patient's imaging results and detailed health records, sharing their findings in Radiology.

Canon Medical’s AI-based image reconstruction solution gains FDA clearance

Canon Medical Systems USA announced Tuesday, July 18, that its new deep convolutional neural network (DCNN) image reconstruction solution for CT scans has received FDA approval.

Thumbnail

How AI marketplaces could transform radiology

AI marketplaces could have a significant impact on the future of radiology, according to a new analysis published by the Harvard Business Review.

Thumbnail

AI triage solution for brain bleeds gains FDA clearance

Zebra Medical Vision announced Monday, June 17, that its AI solution for intracranial hemorrhage (ICH) alerts has gained FDA approval.

Thumbnail

AI tracks important changes in imaging results of MS patients

Researchers have used AI to gain additional insight from the brain MRI scans of multiple sclerosis (MS) patients, sharing their findings in Nature Digital Medicine.

Displaying 537 - 544 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.