ITN Editor Dave Fornell collected numerous examples of how PACS and enterprise imaging vendors are improving the speed and workflow of their...
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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David Danhauer, M.D., FAAP, FHIMSS, chief medical information officer, Owensboro Health, Owensboro, Ky., explains the implementation of...
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Alex Towbin, M.D., Cincinnati Children’s Hospital Medical Center CMIO, Radiology Department associate chief of clinical operations and informatics, and chair of radiology informatics, spoke in an enterprise...
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August 12, 2021 — RSNA 2021 will require proof of COVID-19 vaccination from all in-person attendees and exhibitors at the Society’s 107th Scientific Assembl
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August 11, 2021 — Nano-X Imaging Ltd, an innovative medical imaging company, announced entry into two agreements intended to create a globally connected, end-to-end radiology solution.
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News | Artificial Intelligence | September 22, 2021
September 22, 2021 — The RACE AI study conducted by Gustave Roussy and the startup Owkin, as part of the AI for Health...
Semi-automatic lesion identification: (A) Manual ROI indication. In blue, it is possible to observe the axes that cross the lesion manually delineated by the radiologist on a plane of the MPR. The intensity of the lesion boundary (estimated) is represented with a red outline. (B) Additional axes can be dragged onto other orthogonal MPR views. From left to right, it is possible to observe the initial long axis outlined by the radiologist and the 2D contours on the axial, coronal and sagittal views of the lesion used as a starting point for the RPM algorithms. (C) Resulting 3D contour of the lesion (in blue).
News | Radiomics | September 21, 2021
September 21, 2021 — HealthMyne, a pioneer in applied radiomics, announced today that peer-reviewed research recently...
News | Breast Imaging | September 20, 2021
September 20, 2021 — ImageCare Centers is unveiling its new “PINK Better Mammo” service with the addition of ProFound...
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Blog | Artificial Intelligence | July 21, 2021
Beyond its current and potential benefits in a growing number of clinical use cases, workflow-integrated artificial...
This is an example of TriVu ultrasound imaging on a breast, designed to help increase efficiency and diagnostic accuracy in any practice. Image courtesy of Hologic.
Feature | Breast Imaging | September 15, 2021 | By Jennifer Meade
The breast ultrasound market is seeing growth, driven largely by the proliferation of recent legislation aimed at...
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Feature | Mammography | September 15, 2021 | By Christopher Austin, M.D. and Randy D. Hicks, M.D., MBA
During mammography, proper breast positioning is critical to the radiologist’s ability to identify potential lesions,...
Feature | Information Technology | September 15, 2021 | By Chris Patrick
Does it take a global pandemic to change the way providers deliver care? COVID-19 brought an impact to many healthcare...
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Webinar | Artificial Intelligence | July 08, 2021
Imaging AI has come a long way in just a few years. More than 30% of radiologists have adopted AI, citing improved...
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Feature | Information Technology | September 14, 2021 | By Jef Williams
Cloud solutions have been discussed and promoted within healthcare for more than 10 years. I recall the early 2010s...
Courtesy of Grand View Research
Feature | Magnetic Resonance Imaging (MRI) | September 14, 2021 | By Melinda Taschetta-Millane
According to a new report produced by Grand View Research, the global magnetic resonance imaging (MRI) market size was...
Figure 1: MWT Schematic of a typical setup for detecting malignant tissues/tumors.
Feature | Radiology Imaging | September 14, 2021 | By Brendon McHugh
While microwave tomography (MWT) imaging has been around for a few decades, advances in computing power, artificial...
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Blog | Artificial Intelligence | June 16, 2021
AI-powered models that augment radiologists’ expertise in interpreting diagnostic imaging often capture the lion’s...
News | Cardiovascular Ultrasound | September 14, 2021
September 14, 2021 – Us2.ai, a Singapore-based medtech firm backed by Sequoia India and EDBI, has received U.S. Food...
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News | RSNA | September 13, 2021
September 13, 2021 — The Radiological Society of North America (RSNA) today announced highlights of the Technical...
Diagram showing details of the lung screening experiment. Image courtesy of the European Respiratory Society/Benoit Audelan
News | Artificial Intelligence | September 08, 2021
September 8, 2021 — An artificial intelligence (AI) program can spot signs of lung cancer on computed tomography (CT)...
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Blog | Artificial Intelligence | June 07, 2021
Automation is transforming the way we practice radiation oncology and advancing the standard of patient care. There...
Videos | Enterprise Imaging | September 03, 2021
ITN Editor Dave Fornell collected numerous examples of how PACS and enterprise imaging vendors are improving the speed...
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News | Artificial Intelligence | September 02, 2021
September 2, 2021 — Humans still seem to be better than technology when it comes to the accuracy of spotting possible...
Mount Sinai scientists created an AI-based, automated system that learns to read patient data from electronic health records. Here the system identified dementia cases (purple dots) from a database of nearly 2 million patients (blue dots). Courtesy of the Glicksberg lab, Mount Sinai, N.Y., N.Y.
News | Artificial Intelligence | September 02, 2021
September 2, 2021 — In an article published in the journal Patterns, scientists at the Icahn School of Medicine at...
News | Digital Radiography (DR) | August 30, 2021
August 30, 2021 — Carestream Health has enhanced its premium X-ray system, the DRX-Evolution Plus. New features —...
Videos | Information Technology | August 30, 2021
David Danhauer, M.D., FAAP, FHIMSS, chief medical information officer, Owensboro Health, Owensboro, Ky., explains the...
Videos | Enterprise Imaging | August 27, 2021
Alex Towbin, M.D., Cincinnati Children’s Hospital Medical Center CMIO, Radiology Department associate chief of clinical...
Webinar | Cardiovascular Ultrasound | August 27, 2021
Artificial intelligence is becoming best practice to support clinical decisions and help standardize echocardiography...
Sarcopenia (Myosteatosis) at Screening CT Colonoscopy in 79-Year-Old Woman With Subsequent Hip Fracture: A & B. Image at L1 vertebral level without (A) and with (B) overlay of automated skeletal muscle segmentation (B, red). Intramuscular fat is present within paraspinal muscles (A, yellow circle). Mean muscle attenuation is similar for manually placed ROI (1.8 HU) and automated tool (3.9 HU), being markedly decreased for both approaches. Muscle cross-sectional area is relatively preserved when intramuscular fat is included.
C & D. CT images at L3 level without (C) and with (D) muscle segmentation demonstrate similar findings.
E. Hip radiograph demonstrates left intertrochanteric femoral fracture that occurred when patient fell 2 years later. Patient died 4 years after falling.
News | Computed Tomography (CT) | August 19, 2021
August 19, 2021 — According to ARRS’ American Journal of Roentgenology (AJR), use of the L1 vertebral level — typically...
