The Radiological Society of North America (RSNA) will feature an expanded artificial intelligence (AI) presence at its 105th Scientific...
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.
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The first-ever patient radiation therapy treatments generated with machine learning in the RayStation treatment planning system (TPS) have been conducted. Patients with localized prostate cancer are being treated with the technology at the Princess Margaret Cancer Centre in Toronto, Canada, as...
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GE Healthcare announced the U.S. Food and Drug Administration’s (FDA) 510(k) clearance of Critical Care Suite, a collection of artificial intelligence (AI) algorithms embedded on a mobile X-ray device. Built in collaboration with UC San Francisco (UCSF) using GE Healthcare’s Edison platform, the...
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There were several trends and new technologies in radiation oncology discussed at the American Association of Physicists in Medicine (AAPM) 2019 meeting in July.
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This is an example of the Mirada DLCExpert deep learning software that automatically identifies organs, segments and auto-contours them as the first step in creating radiation oncology treatment plans. This...
Feature | Artificial Intelligence | October 09, 2019 | By Sharmistha Sarkar
Artificial intelligence (AI) is a technology...
News | Artificial Intelligence | October 08, 2019
October 8, 2019 — The Radiological Society of North America (RSNA)...
Feature | Radiology Business | October 08, 2019 | April Wilson
According to IBM, the world creates 2.5 quintillion bytes of data daily. A large chunk of this data is healthcare...
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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
Blog | Radiology Imaging | August 30, 2019
The clinical needs of those who live in rural America and small communities are both simple and complex.
Attendees of ASTRO 2019 walked the halls of McCormick Place in Chicago, Ill.
Feature | ASTRO | October 03, 2019 | By Greg Freiherr
At the American Society for Radiation Oncology’s (ASTRO) 2019...
News | Digital Radiography (DR) | October 02, 2019
News | Artificial Intelligence | October 01, 2019
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There were more than 150 companies showing some version of artificial intelligence at RSNA, but very few have FDA cleared products for sale. One of the trends seen on the floor was a movement toward AI app stores where these start-up companies can offer their wares through a larger vendor and provide a single point of contracts and IT integration for hospitals.
Blog | RSNA | November 29, 2018
Artificial intelligence (AI) and enterprise imaging were among the top trends at the Radiological Society of North...
News | Artificial Intelligence | September 30, 2019
September 30, 2019 — Researchers from Intermountain Healthcare and Stanford University say 10 seconds is about how...
News | Artificial Intelligence | September 26, 2019
September 26, 2019 — For the first time, a sophisticated computer model has been shown to accurately predict two of the...
Technology | Computed Tomography (CT) | September 26, 2019
September 26, 2019 — The U.S. Food and Drug Administration (FDA) has cleared three modules of AI-Rad Companion Chest CT...
News | Magnetic Resonance Imaging (MRI) | September 25, 2019
September 25, 2019 – Cardiac magnetic...
News | Ultrasound Imaging | September 23, 2019
September 23, 2019 — Fujifilm SonoSite Inc. and the Allen Institute of...
News | Treatment Planning | September 23, 2019
September 23, 2019 — The first-ever patient radiation...
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One of several 3-D printed models at Stratasys booth during RSNA 2018.
Blog | RSNA | November 27, 2018
For medical practice to advance, efforts to make this practice more efficient must not come at the expense of...
News | Breast Density | September 20, 2019
September 20, 2019 — Densitas Inc. announced it has won a procurement of its densitas densityai software for deployment...
News | Image Guided Radiation Therapy (IGRT) | September 16, 2019
September 16, 2019 — At the 2019 American Society for...
Technology | X-Ray | September 12, 2019
September 12, 2019 – GE Healthcare announced the U.S. Food and Drug Administration’s (FDA) 510(k) clearance of Critical...
News | Computer-Aided Detection Software | September 09, 2019
September 9, 2019 — iCAD Inc. announced MedTech Breakthrough, an independent organization that recognizes the top...
News | Neuro Imaging | September 09, 2019
September 9, 2019 — Imaging Biometrics LLC (IB), in collaboration with the Medical College of Wisconsin (MCW), has...
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....
Siemens executives Peter Shen (left) and Wesley Gilson prepare to present about artificial intelligence July 21 at the annual AHRA meeting.
Blog | Artificial Intelligence | September 06, 2019
“It’s tough to make predictions, especially about the future.”
— Yogi Berra
Yogi was right. Cars didn’t fly (at least...
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 Society of Imaging...