Artificial Intelligence
This channel includes news and technology innovations for artificial intelligence (AI) 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.
An example of the MRI scans showing long-term and short-term survival indications. Image courtesy of Case Western Reserve University
News | Magnetic Resonance Imaging (MRI) | February 21, 2020
February 21, 2020 — Glioblastoma is an aggressive, killer disease. While victims of this fast-moving brain tumor...
Sponsored Content | Videos | Enterprise Imaging | February 19, 2020
Bill Lacy, vice president, Medical Informatics at FUJIFILM Medical Systems U.S.A., Inc. discusses Synapse 7x, a...
The Caption Guidance software uses artificial intelligence to guide users to get optimal cardiac ultrasound images in a point of care ultrasound (POCUS) setting.
News | Artificial Intelligence | February 13, 2020
February 13, 2020 — The U.S. Food and Drug Administration (FDA) cleared software to assist medical professionals in the...
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Image courtesy of Pixabay
Blog | Artificial Intelligence | March 02, 2020
Artificial intelligence may be important not only to get image sharing technologies to work together – but to make...
News | Image Guided Radiation Therapy (IGRT) | February 11, 2020
February 11, 2020 — Varian announced it has received FDA 510(k) clearance for its Ethos therapy, an Adaptive...
Mammograms of a 49-year-old woman with invasive lobular carcinoma on the right-side breast. A small mass with micro-calcifications on the right-side breast was detected correctly by AI with an abnormality score of 96%. This case was recalled by 7 out of 14 radiologists (4 breast radiologists and 3 general radiologists) initially (without AI) and all 14 radiologists recalled this case correctly with the assistance of AI.
News | Artificial Intelligence | February 11, 2020
February 11, 2020 — A new study, published in Lancet Digital Health, shows the added value of AI-aided breast cancer...
News | Enterprise Imaging | February 11, 2020
February 11, 2020 — Enterprise Imaging developer PaxeraHealth has signed a vendor agreement with Vizient, Inc., a...
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Graphic courtesy of Pixabay
Blog | Electronic Medical Records (EMR) | February 02, 2020
The electronic transmission of patient images, when done cost effectively, efficiently and instantaneously, can help...
Image courtesy of Pixabay.
Blog | Electronic Medical Records (EMR) | February 10, 2020
“The future’s not ours to see ...” Lyric from the song “Que Sera, Sera”
Given the growing emphasis on patient and...
An example of artificial intelligence (AI) being developed by Hitachi to automatically review and identify nodules on lung CT scans. This is part of a suite of AI apps Hitachi is developing. This example was being shown as a work in progress at RSNA 2019. Photo by Dave Fornell.
Feature | Artificial Intelligence | February 07, 2020 | Sanjay Parekh, Ph.D.
February 7, 2020 – At the 2019 Radiological Society of North America (RSNA) meeting in December, there was a record...
Sponsored Content | Videos | Artificial Intelligence | February 07, 2020
At RSNA19, GE Healthcare introduced its Edison Open AI Orchestrator. The software has been designed to operate smart...
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Graphic courtesy of Nuance Communications
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...
Sponsored Content | Videos | Artificial Intelligence | February 06, 2020
ProFound AI is an FDA-cleared artificial intelligence (AI) system for reading 3-D breast tomosynthesis images. At...
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...
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...
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The latest version of the universal viewer shown by GE Healthcare at RSNA 2019 incorporates artificial intelligence. Image courtesy of GE Healthcare
Blog | Artificial Intelligence | January 12, 2020
After languishing for years, enterprise imaging appears ready to enter the mainstream of health care. At least a small...
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 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...
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...
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. 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...
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...
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...
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...
