A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images

A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images. The algorithm, described at the SBI/ACR Breast Imaging Symposium, used deep learning, a form of machine learning, which is a type of artificial intelligence. Image courtesy of Sarah Eskreis-Winkler, M.D.

Feature | Society of Breast Imaging (SBI) | September 06, 2019 | By Greg Freiherr
The use of smart algorithms has the potential to make healthcare more efficient....
Philips and Fujifilm booths at SIIM 2019.

Philips and Fujifilm booths at SIIM 2019.

Feature | SIIM | September 06, 2019 | By Greg Freiherr
Pragmatism from cybersecurity to enterprise imaging was in vogue at the 2019 meeting of the...
Iridium Cancer Network

Iridium Cancer Network

Sponsored Content | Case Study | Radiation Oncology | September 04, 2019
Iridium Cancer Network consists of all seven hospitals in the Antwerp region, closely collaborating regarding radiation...
Sudhen Desai, M.D.

Sudhen Desai, M.D.

Feature | Pediatric Imaging | September 04, 2019 | By Jeff Zagoudis
Burnout has become a popular buzzword in today’s business world, meant to describe prolonged periods of stress in the...
Wearing personal radiation measurement badges to measure dose exposure is crucial.

Wearing personal radiation measurement badges to measure dose exposure is crucial.

Feature | Radiation Dose Management | September 04, 2019 | By Mukta Acharya
Doctors and technologists are exposed to...
Heath information technology diagram showing use of cloud storage.
Feature | Archive Cloud Storage | September 04, 2019 | Tyna Callahan
In healthcare, critical systems are being used to deliver vital information and services 24x7x365. Clinicians demand...
Global Diagnostics Australia Incorporates AI Into Radiology Applications
News | Artificial Intelligence | September 04, 2019
September 4, 2019 — Global Diagnostics Australia (GDA), a subsidiary of the Integral Diagnostics Group (IDX), has...
The CT scanner might not come with protocols that are adequate for each hospital situation, so at Phoenix Children’s Hospital they designed their own protocols, said Dianna Bardo, M.D., director of body MR and co-director of the 3D Innovation Lab at Phoenix Children’s.

The CT scanner might not come with protocols that are adequate for each hospital situation, so at Phoenix Children’s Hospital they designed their own protocols, said Dianna Bardo, M.D., director of body MR and co-director of the 3D Innovation Lab at Phoenix Children’s.

Sponsored Content | Case Study | Radiation Dose Management | September 04, 2019
Radiation dose management is central to child patient safety. Medical imaging plays an increasing role in the accurate...
AI may have a substantial effect on the practice of medicine, so much so that it transforms the role of radiologists

Image by Gerd Altmann from Pixabay 

Blog | Artificial Intelligence | September 04, 2019
Radiology’s history dates back to 1895 when...
A 3-D printed tungsten pre-clinical X-ray system collimator. 3D printed, additive manufacturing for medical imaging.

A 3-D printed tungsten pre-clinical X-ray system collimator. The tungsten alloy powder is printed into the form desired and is laser fused so it can be machined and finished. Previously, making collimators from Tungsten was labor intensive because it required working with sheets of the metal to create the collimator matrix. 

Feature | Medical 3-D Printing | September 04, 2019 | By Steve Jeffery
In ...
New Radiomics Model Uses Immunohistochemistry to Predict Thyroid Nodules

Workflow of radiomics analysis for IHC indicators. Yellow lines denote area of analysis; red lines denote ROI for radiomic features extraction. X = original image, L = low-pass filter, H = high-pass filter. Image courtesy of Jiabing Gu, et al.

News | Artificial Intelligence | September 03, 2019
September 3, 2019 — Researchers have validated a first-of-its-kind...
Philips Debuts Cardiac Ultrasound and Enterprise Informatics Offerings at ESC 2019
News | Cardiac Imaging | August 30, 2019
August 30, 2019 — Philips will showcase its latest cardiac care innovations at the European Society of Cardiology (ESC...
Surgical ultrasound probes extend the capability of Hitachi’s Arietta 70 system

Surgical ultrasound probes extend the capability of Hitachi’s Arietta 70 system. Each probe can be sterilized to allow safe scanning inside the human body. Picture courtesy of Hitachi Healthcare Americas

Sponsored Content | Blog | Radiology Imaging | August 30, 2019
The clinical needs of those who live in rural America and small communities are both simple and complex. A physician...
New Report Reveals Vulnerabilities of Internet of Things-enabled Healthcare Devices
News | Cybersecurity | August 29, 2019
August 29, 2019 — Use of the Internet of Things (IoT) is booming, with IHS Markit forecasting there will be...
Delaware Imaging Network Now Offers NeuroQuant Brain Imaging MRI Software
News | Neuro Imaging | August 29, 2019
August 29, 2019 — Delaware Imaging Network (DIN), Delaware’s largest network of outpatient medical imaging centers, has...
Royal Solutions and ZipRad Partner to Tackle Order Entry and Pre-authorization
News | Electronic Medical Records (EMR) | August 27, 2019
August 27, 2019 — Medical data delivery company Royal Solutions has partnered with ZipRad to streamline imaging exam...
Exo Imaging Raises $35 Million for Developmental Ultrasound Platform
News | Ultrasound Imaging | August 23, 2019
August 23, 2019 — Exo Imaging Inc. announced a $35 million Series B financing round for its high-performance...
Glassbeam Introduces AI-powered Rules and Alerts Engine for Clinsights
News | Analytics Software | August 23, 2019
August 23, 2019 — Glassbeam Inc. revealed several technology enhancements in its Rules & Alerts engine that make it...
Smoldering Spots in the Brain May Signal Severe MS

NIH researchers found that dark rimmed spots representing ongoing, “smoldering” inflammation, may be a hallmark of more disabling forms of multiple sclerosis. Image courtesy of Reich lab, NIH/NINDS.

News | Neuro Imaging | August 22, 2019
August 22, 2019 — Aided by a high-powered brain scanner and a...