April 25, 2017 —Artificial...
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.
News | Advanced Visualization | April 25, 2017
April 25, 2017 — Fovia Inc. and Predible Health announced a new collaboration to combine high-quality imaging...
News | Clinical Decision Support | April 13, 2017
April 13, 2017 — Anne Le Grand, general manager of Watson Health Imaging, will explore the potential of cognitive...
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News | Artificial Intelligence | May 29, 2018
Many say it is very difficult or impossible to go through the large volumes of data to pick out what is clinically...
An example of augmented reality displays by Novarad at HIMSS 2017. The system uses a visor to project co-registered 3-D datasets on a real patient in an operating room to aid procedural navigation.
Blog | Information Technology | April 10, 2017
While attending this year’s Health Information and Management Systems Society (HIMSS) conference in Orlando, ITN...
Technology | Clinical Decision Support | March 16, 2017
March 16, 2017 — MedyMatch Technology announced a collaboration with IBM Watson Health to bring MedyMatch’s...
Videos | HIMSS | March 10, 2017
ITN Editor Dave Fornell takes a tour of some of the most innovative new technology that was displayed on the expo...
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Philips’ Illumeo supports the comparison of current and prior patient images. (Screen shots are from the ITN video “How Artificial Intelligence Is Changing Radiology.”)
Blog | Artificial Intelligence | May 01, 2018
Patients benefit when providers and technology work together.
News | Information Technology | March 08, 2017
March 8, 2017 — Despite global political uncertainties and a sluggish economic outlook for 2017, the global...
A view through a HoloLens augmented reality visor showing an overlaid brain image co-registered with a live patient on a table at HIMSS 2017.
Blog | HIMSS | March 03, 2017 | Dave Fornell
Information technology (IT) is among the least sexy areas to cover in medical technology advances, and is often...
News | Artificial Intelligence | March 02, 2017
March 2, 2017 — IBM at the 2017 Healthcare Information and Management Systems Society Conference and Exhibition (...
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News | Artificial Intelligence | January 25, 2018
ITN Contributing Editor Greg Freiherr offers an overview of artificial intelligence advances at the Radiological...
Conserus Imaging Fellow from McKesson collects all relevant patient data--including surgical history, medications, lab results and admission/discharge notes--and consolidates it into one easy-to-navigate interface.
Feature | Enterprise Imaging | March 02, 2017 | By Jeff Zagoudis
In the days before picture archiving and communication systems (...
Photo courtesy of Philips Healthcare
Blog | Artificial Intelligence | March 02, 2017
News | Information Technology | March 01, 2017
March 1, 2017 — Featuring new and enhanced connected health offerings at the 2017 Healthcare Information and...
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Image courtesy of Pixabay
Blog | Enterprise Imaging | April 27, 2017
Radiologists may not consider imaging systems to be at high risk of cyber attack. But it is for exactly this reason...
Videos | Artificial Intelligence | March 01, 2017
Machine learning is now being commercialized in medical imaging products designed to help improve workflow...
News | Artificial Intelligence | February 24, 2017
February 24, 2017 — Frost & Sullivan’s TechVision Growth Partnership Service program released a new report, “...
An example of how Agfa is integrating IBM Watson into its radiology workflow. Watson reviewed the X-ray images and the image order and determined the patient had lung cancer and a cardiac history and pulled in the relevant prior exams, sections of the patient history, cardiology and oncology department information. It also pulled in recent lab values, current drugs being taken. This allows for a more complete view of the patient's condition and may aid in diagnosis or determining the next step in care.
Feature | Artificial Intelligence | February 24, 2017 | Dave Fornell
Artificial intelligence (AI) has captured the imagination and attention of doctors over the past couple years as...
News | Artificial Intelligence | February 22, 2017
February 22, 2017 — TeraRecon is demonstrating their Within Image Analysis (WIA) Cloud machine learning solution...
Technology | Enterprise Imaging | February 21, 2017
February 21, 2017 — Philips recently announced the introduction of IntelliSpace Enterprise Edition at the 2017...
News | Artificial Intelligence | February 15, 2017
February 15, 2017 — Deep learning, also known as...
Curved multiplanar CT reconstruction and 3-D volume rendering of a heart beating 55 times per minute. Note noncalcified and calcified plaques with high-grade stenosis in the proximal right coronary artery. Effective dose was 1.8 mSv. (Image courtesy Toshiba America Medical Systems)
Blog | Artificial Intelligence | February 01, 2017
There was a time when cardiac cath was the only way to see what was happening in the heart. Today that can be done...
Siemens’ Artis pheno demonstrates greater agility than 8-year-old Artis zeego thanks to elimination of ceiling cables.
Feature | RSNA 2016 | February 01, 2017 | By Greg Freiherr
There are plenty of uncertainties surrounding medical practice in this country. But, if the...
