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.

Commercially available AI increases breast cancer detection by nearly 20%
Results from the world’s largest prospective artificial intelligence study revealed the system could significantly benefit breast cancer screening programs.
Clinicians want AI to show its work
Providers are more likely to trust AI when they understand how it arrives at its conclusions.
ACR Assess-AI national data registry tracks performance of clinical algorithms
Christoph Wald, MD, vice chair of the ACR Board of Chancellors, explains how the new Assess-AI National Radiology Data Registry is designed to help monitor accuracy and other metrics for radiology artificial intelligence.
New cardiac prevention paradigm explored in TRANSFORM trial using AI and CCTA
Deepak Bhatt, MD, director of the Mount Sinai Fuster Heart Hospital and principal investigator of the TRANSFORM trial, explains an emerging technique for cardiac screening: combining coronary CT angiography with artificial intelligence for plaque analysis to create an approach similar to mammography.
PHOTO GALLERY: Medical imaging technology at RSNA 2024
Take a virtual tour around the Radiological Society of North America (RSNA) meeting to see the sights and new technologies displayed across the vast exhibit hall floors.

Harvard researchers’ novel molecular imaging technique creates brain 'cellular atlas'

Harvard University researchers used novel molecular imaging technology to make a first-of-its-kind “cellular atlas,” covering a key area in the brain to help study the genetic makeup and function of cells, according to research published online Nov. 1 in Science.

November 6, 2018

PET-trained AI predicts Alzheimer’s 6 years before diagnosis

A new artificial intelligence (AI) algorithm trained on 18-F-fluorodeoxyglucose PET (18FDG-PET) scans can predict the occurrence of Alzheimer’s disease at least six years before diagnosis with 100 percent sensitivity, according to research published Nov. 6 in Radiology.

November 6, 2018

Virtual reality game may alleviate children's fears of MRI scans

A 17-year-old Minnesota native has designed a virtual reality (VR) game to help prepare kids for MRI exams and alleviate pre-scan anxiety, according to an article published Nov. 4 by the Twin Cities Pioneer Press in Minnesota.

November 5, 2018

MRIs beyond 10 Tesla are on the rise internationally

“The appeal of ultra-high-field scanners is clear. The stronger the magnetic field, the greater the signal-to-noise ratio, which means the body can be imaged either at greater resolution, or at the same resolution, but faster,” according to an article published Oct. 31 by Nature.com.

October 31, 2018

FDA approves USC's 7 Tesla MRI for clinical use

The scanner—installed at the University of Southern California’s Mark and Mary Stevens Neuroimaging and Informatics Institute (INI) in February 2017—may help in the development of care, treatment and monitoring of patients with Alzheimer’s disease, multiple sclerosis and other neurological diseases.

October 31, 2018

Simple antenna radio probe can improve MRI resolution

High-resolution MRI machines can achieve greater resolution when radio probes are changed from coils to antennas, reported researchers in a recent study published in Transactions on Microwave Theory and Techniques.

October 31, 2018

MRI-trained algorithm can predict breast tumor response to chemotherapy

Using a breast MRI tumor dataset, researchers found a deep learning convolutional neural network (CNN) approach could be trained to predict responses to chemotherapy prior to its initiation, according to a recent Journal of Digital Imaging study.

October 31, 2018

First neuropathic pain patient in US receives MRI focused ultrasound treatment

A pilot study conducted by researchers at the University of Maryland Medical Center in Baltimore has successfully treated the first U.S. patient using MRI-guided focused ultrasound for chronic neuropathic pain, according to a university press release published Oct. 28.

October 30, 2018

Around the web

Radiology Business

The biggest obstacles facing radiology business managers in 2025

RBMA President Peter Moffatt discusses declining reimbursement rates, recruiting challenges and the role of artificial intelligence in transforming the industry.

Cardiovascular Business

New cardiac prevention paradigm explored in TRANSFORM trial using AI and CCTA

Deepak Bhatt, MD, director of the Mount Sinai Fuster Heart Hospital and principal investigator of the TRANSFORM trial, explains an emerging technique for cardiac screening: combining coronary CT angiography with artificial intelligence for plaque analysis to create an approach similar to mammography.

Cardiovascular Business

Cardiology practices pay $17.7M to settle fraud allegations brought on by whistleblowers

A total of 16 cardiology practices from 12 states settled with the DOJ to resolve allegations they overbilled Medicare for imaging agents used to diagnose cardiovascular disease.