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. 

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Coalition of imaging practices gains access to advanced AI capabilities

Under a new agreement, Strategic Radiology’s member practices will be able to use the ClearRead software solutions developed by Riverain Technologies. 

artificial intelligence robot evaluates healthcare data

AI improves the delivery of ultrasound-guided regional anesthesia

Researchers have identified yet another way AI can boost patient outcomes, tracking the effectiveness of a new scanning device from Intelligent Ultrasound. 

Arzhang Fallahi, MD, and David Hsi, MD, discussing imaging-based aortic stenosis screening

Q&A: Cardiologists explore the potential impact of a screening program for aortic stenosis

We already screen patients for breast cancer and lung cancer on a regular basis. Why not establish screening programs for aortic stenosis?

breast cancer mammography mammogram

AI proves a qualified second reader for screening mammography

According to one radiologist, the continued success of AI could make second reads for screening mammograms a thing of the past. 

Purvi Parwani, MD, director of echocardiography, Loma Linda University Medical Center, explains the trend where heart failure imaging guidelines are driving a rising use of mixed multimodality imaging. #ASE #ASE2023

Multimodality imaging helps cardiologists manage heart failure patients—with an assist from AI

Purvi Parwani, MD, discussed the trend toward multimodality imaging for heart failure management. All modalities have their own weaknesses, she explained. 

radiology twitter social media influencers

Social media influencers help build a ‘positive, connected basis for radiology’s thriving future’

Here’s a profile of the quintessential social media influencer working in radiology: male, physician, subspecialized, academic and/or administrative leader ... 

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Combining AI models leads to better breast cancer risk assessments

A new study out of Denmark suggests two advanced artificial intelligence algorithms are better than one. 

Motion-Corrected MRI Scan

MRI results affected by movement? MIT researchers have an AI-powered solution

An MRI's sensitivity to movement during scans often leads to image artifacts, risking misdiagnoses and redundant scans. But a new deep learning model may be able to compensate.

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Around the web

Cardiovascular Business
Positron partners with Upbeat Cardiology Solutions to improve cardiac PET/CT access

Positron, a New York-based nuclear imaging company, will now provide Upbeat Cardiology Solutions with advanced PET/CT systems and services. 

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.