Artificial Intelligence

This channel includes news and new technology innovations for artificial intelligence software, also referred to as deep learning, cognitive computing and machine learning. AI technology is being integrated in radiology for imaging appropriate use criteria (AUC), clinical decision support, predictive analytics, and to assist radiologists with improved workflow.

Mirada Medical Releases DLCExpert for Radiotherapy Treatment Planning
Technology | Treatment Planning | February 22, 2018

February 22, 2018 — U.K.-based medical imaging software provider Mirada Medical has released DLCExpert, the first...

ECR 2018 Spotlights Artificial Intelligence and Current Radiology Trends
News | Interventional Radiology | February 21, 2018

February 21, 2018 — The European Congress of Radiology (ECR) announced the theme of its 2018 annual meeting, Feb. 28...

Aidoc Introduces AI Solution for Whole-Body CT Scan Analysis
News | Artificial Intelligence | February 20, 2018

February 20, 2018 — Deep learning startup company Aidoc announced what it calls the world’s first and only...

Arterys Receives First FDA Clearance for Oncology Imaging Suite With Deep Learning
Technology | Artificial Intelligence | February 15, 2018

February 15, 2018 — Arterys Inc. announced its fifth 510(k) clearance from the U.S. Food and Drug Administration (...

Sponsored Content | Videos | Artificial Intelligence | February 15, 2018

ITN Contributing Editor Greg Freiherr offers an overview of artificial intelligence advances at the Radiological...

FDA Clears First AI-Powered Clinical Decision Support Software for Stroke
Technology | Clinical Decision Support | February 14, 2018

February 14, 2018 — The U.S. Food and Drug Administration (FDA) announced marketing clearance for Viz.AI’s Contact...

NEST Program Names ACR Data Science Institute AI Use Case as Demonstration Project
News | Artificial Intelligence | February 07, 2018

February 7, 2018 — A U.S. Food and Drug Administration (FDA)-funded program to speed safe and effective medical...

MedyMatch Receives FDA Device Designation for Intracranial Hemorrhage Software
News | Computed Tomography (CT) | February 01, 2018

February 1, 2018 – MedyMatch Technology, a company focused on helping physicians provide accurate patient assessment...

Machine Learning Techniques Generate Clinical Labels of Medical Scans
News | Artificial Intelligence | January 31, 2018

January 31, 2018 — Researchers used machine learning techniques, including natural language processing algorithms,...

Elekta and IBM Watson Health Bringing Artificial Intelligence to Oncology
News | Oncology Diagnostics | January 31, 2018

January 31, 2018 – Elekta announced it is collaborating with IBM Watson Health to offer Watson for Oncology with...

Deep learning, artificial intelligence in radiology was the prime topic of discussion at the RSNA/AAPM symposium at RSNA 2017.

Deep learning, artificial intelligence in radiology was the prime topic of discussion at the RSNA/AAPM symposium at RSNA 2017.

Feature | RSNA 2017 | January 29, 2018

When considering potential topics for the 2017 Radiological Society of North America (RSNA)/American Association of...

Technology Report: Artificial Intelligence 2017
Sponsored Content | News | Artificial Intelligence | January 25, 2018

ITN Contributing Editor Greg Freiherr offers an overview of artificial intelligence advances at the Radiological...

Brain Imaging Predicts Language Learning in Deaf Children
News | Magnetic Resonance Imaging (MRI) | January 23, 2018

January 23, 2018 – In a new international collaborative...

Technology | PACS | January 22, 2018

January 22, 2018 — QualiTest Group recently announced its improved Virtual Radiology Environment (VRE)...

Blog | RSNA 2017 | January 18, 2018 | Dave Fornell

The Radiological Association of North America's (RSNA) 2017 conference will be remembered as the year artificial...

RSNA 2017 Celebrates Innovation in Radiology
News | Radiology Imaging | January 15, 2018

January 15, 2018 — The Radiological Society of North America’s...

The artificial intelligence (AI) smart algorithm onboard the Infervision stroke product calculates the volume of bleed on the basis of multiple brain CT slices.

The AI smart algorithm onboard the Infervision stroke product calculates the volume of bleed on the basis of multiple brain CT slices. The size of the bleed volume indicates the urgency and type of treatment required.

Feature | Artificial Intelligence | January 10, 2018 | Greg Freiherr

Exhibitors at the 2017 Radiological Society of North America (RSNA) meeting rode the...