Infervision’s deep learning medical imaging platform is helping screen patients for the coronavirus in China. It acts as second pair of eyes to identify multiple diseases from one set of chest scans. The artificial intelligence (AI) can provide a complete view of the nodule, including volume and density.

Infervision’s deep learning medical imaging platform is helping screen patients for the coronavirus in China. It acts as second pair of eyes to identify multiple diseases from one set of chest scans. The artificial intelligence (AI) can provide a complete view of the nodule, including volume and density.

News | Artificial Intelligence | February 04, 2020
February 4, 2020 — Since January 2020, the Coronavirus (2019-nCoV) outbreak at Wuhan, China, has attracted a great deal...
Qynapse, a medical technology company, announced that it received U.S. Food and Drug Administration (FDA) 510(k) clearance for its QyScore software
News | Information Technology | February 04, 2020
February 4, 2020 — Qynapse, a medical technology company, announced that it received U.S. Food and Drug Administration...
artificial intelligence
Blog | Artificial Intelligence | February 03, 2020
It is not that smart algorithms will one day become too smart, as some fear; not that smart machines will one day...

Graphic courtesy of Pixabay

Sponsored Content | Blog | Electronic Medical Records (EMR) | February 02, 2020
The electronic transmission of patient images, when done cost effectively, efficiently and instantaneously, can help...
While electronic medical record systems have helped consolidate most patient data into one location, medical imaging IT systems has proved to be more difficult to replicate by large EMR vendors. This has made room in the market for third-party radiology IT vendors that allow easy integration with the larger EMRs like Epic and Cerner. This image shows Agfa's enterprise imaging system, leveraging its ability to be accessed anywhere with internet connection and pull images from radiology and surgery.

While electronic medical record systems have helped consolidate most patient data into one location, medical imaging IT systems has proved to be more difficult to replicate by large EMR vendors. This has made room in the market for third-party radiology information system vendors that allow easy integration with the larger EMRs like Epic and Cerner. This image shows Agfa's enterprise imaging system, leveraging its ability to be accessed anywhere with an internet connection and able to pull in images from both radiology and surgery. 

Feature | Enterprise Imaging | February 02, 2020 | Steve Holloway
The growing influence and uptake of electronic medical records (EMRs) in healthcare has driven debate over the future...

Cloud-scale storage architecture is key to orchestrating highly secure, reliable and accessible data systems using affordable, efficient and sustainable approaches.

Feature | Information Technology | February 01, 2020 | By Tyna Callahan
In healthcare, critical systems are being used to deliver vital information and services 24/7/365. Clinicians demand...
RSNA 2019

RSNA 2019

Feature | Radiology Imaging | January 31, 2020 | By Greg Freiherr
The founder of Gonzo journalism thought back nostalgically to what many believed in the 1960s was inevitable. The...
GE Centricity Pacs

Photo courtesy of GE Healthcare

Feature | Vendor Neutral Archive (VNA) | January 31, 2020 | By Melinda Taschetta-Millane
The vendor neutral archive (VNA) market continues to grow, as does the amount of patient data being collected. However...
artificial intelligence
Feature | Artificial Intelligence | January 31, 2020 | By Dhruv Chopra
Technological advancements — in conjunction with innovative thinking — have led to changes in the radiology industry...
This image is of an 80 kg woman with a newly diagnosed IDH-wildtype glioblastoma

This image is of an 80 kg woman with a newly diagnosed IDH-wildtype glioblastoma. The quarter dose image on the left was obtained after the administration of 4 ml of MultiHance. Subsequently, an additional 12 ml of MultiHance was administered and the cumulative full dose image in the center was obtained. The image on the right was rendered following artificial intelligence processing of the 4 ml image using eGad genetic algorithms. This image has the quality of triple dose gadolinium even though only one quarter dose gadolinium was given.

Feature | Contrast Media Injectors | January 30, 2020 | By Matthew Kuhn, M.D., FACR
Gadolinium-based contrast agents (GBCAs) are widely used in medical imaging to provide essential diagnostic information...
Fujifilm Synapse
News | Enterprise Imaging | January 30, 2020
January 30, 2020 — Fujifilm Corporation announced its plan to launch a Systems Integration (SI) business, operating...
Sony has received FDA 510(k) clearance from the Food and Drug Administration for the company’s NUCLeUS operating room, imaging management and collaboration control platform
News | Information Technology | January 29, 2020
January 29, 2020 — Sony has received FDA 510(k) clearance from the Food and Drug Administration for the company’s ...
Imaging center leaders and radiologists identify benefits, challenges and areas of use associated with artificial intelligence usage in healthcare

Image by Gerd Altmann from Pixabay 

News | Artificial Intelligence | January 28, 2020
January 28, 2020 — Definitive Healthcare, a provider of data, intelligence and analytics on healthcare organizations...

Image by Adam Radosavljevic from Pixabay 

News | Radiology Business | January 27, 2020
January 27, 2020 —  Hg, a specialist private equity investor focused on software and service businesses, announced that...
Using the PowerShare Network for electronic image transmission is faster and more reliable than using a common alternative, compact disks

Graphic courtesy of Nuance Communications

Sponsored Content | Blog | Electronic Medical Records (EMR) | January 23, 2020
Approaches to gain widespread use of electronic transmission of patient images may be as varied as the needs and...
he U.S. Food and Drug Administration (FDA) has issued a final order to reclassify medical image analyzers applied to mammography breast cancer, ultrasound breast lesions, radiograph lung nodules and radiograph dental caries detection, postamendments class III devices (regulated under product code MYN), into class II (special controls), subject to premarket notification

Image courtesy of iCAD

News | Computer-Aided Detection Software | January 22, 2020
January 22, 2020 — The U.S. Food and Drug Administration (FDA) has issued a final order to reclassify medical image...
Iodine-based CT contrast ready for scanning with a Canon Aquilion One 320-slice CT system at Northwestern Medicine Central DuPage Hospital in the Chicago suburbs.
News | Radiology Imaging | January 22, 2020
January 22, 2020 — The risk of administering modern intravenous iodinated contrast media in patients with reduced...
Sectra has signed a digital pathology contract with the Dutch hospital Zuyderland MC
News | Digital Pathology | January 22, 2020
January 22, 2020 — Sectra has signed a digital pathology contract with the Dutch hospital Zuyderland MC. A digital...
Medical imaging technology company Oxipit announced partnership with Swiss medical distribution company Healthcare Konnect to bring ChestEye AI imaging suite to healthcare institutions in Nigeria
News | Artificial Intelligence | January 22, 2020
January 22, 2020 — Medical imaging technology company Oxipit announced partnership with Swiss medical distribution...
Hitachi Healthcare Americas announced that it will create a new dedicated research and development facility within its North American headquarters facility in Twinsburg, Ohio
News | Radiology Business | January 21, 2020
January 21, 2020 — Hitachi Healthcare Americas announced that it will create a new dedicated research and development...