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.

This study shows that thanks to deep learning analysis applied to digitized pathology slides, artificial intelligence can classify patients with localized breast cancer between high risk and low risk of metastatic relapse in the next five years.

Getty Images

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...
HealthMyne, a pioneer in applied radiomics, announced today that peer-reviewed research recently published in the journal Cancers has demonstrated the ability of its radiomics technology to identify biomarkers that predict whether patients with lung adenocarcinoma would benefit from immunotherapy.

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...
This is an example of 3-D ultrasound imaging on a breast, designed to help increase efficiency and diagnostic accuracy in any practice. Image courtesy of Hologic.

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...
While the Mammography Quality Standards Act (MQSA) and the introduction of EQUIP (Enhancing Quality Using the Inspection Program) have been successful in standardizing and enhancing mammographic imaging quality, inadequate breast positioning can dramatically impact the ability of radiologists and technicians to quickly and accurately detect breast cancer and potentially malignant lesions in their patients

Getty Images

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,...
Changing business models require the adoption of new technologies to remain efficient and effective
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...
Cloud services have been utilized within healthcare organizations for more than a decade. Now with the growth of artificial intelligence (AI) it is very common to see organizations adopting cloud services.

Getty Images

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...
As with all imaging technologies, COVID-19 is expected to continue to negatively impact the market.

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.

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...
Us2.ai, a Singapore-based medtech firm backed by Sequoia India and EDBI, has received U.S. Food and Drug Administration (FDA) clearance for Us2.v1, a completely automated AI decision support tool for cardiac ultrasound.
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...
Plan to attend RSNA21 at McCormick Place Chicago, Nov. 28 – Dec. 2, 2021

Getty Images

News | RSNA | September 13, 2021
September 13, 2021 — The Radiological Society of North America (RSNA) today announced highlights of the Technical...
An artificial intelligence (AI) program can spot signs of lung cancer on computed tomography (CT) scans a year before they can be diagnosed with existing methods, according to research presented at the European Respiratory Society International Congress.

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)...
Videos | Enterprise Imaging | September 03, 2021
ITN Editor Dave Fornell collected numerous examples of how PACS and enterprise imaging vendors are improving the speed...
The researchers say there is currently a lack of good quality evidence to support a policy of replacing human radiologists with artificial intelligence (AI) technology when screening for breast cancer.

Getty Images

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.

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...
Carestream Health has enhanced its premium X-ray system, the DRX-Evolution Plus. New features — designed to benefit radiology professionals and patients — help augment workflow and increase patient comfort.
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

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...