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.

Owkin, a startup that deploys artificial intelligence (AI) and Federated Learning technologies to augment medical research and enable scientific discoveries, presented findings in Hepatocellular Carcinoma (HCC) with Cleveland Clinic at the 2021 European Society of Medical Oncology (ESMO) conference.

Illustration courtesy of Cleveland Clinic

News | Artificial Intelligence | September 24, 2021
Owkin and Cleveland Clinic Develop AI Model that Predicts Liver Cancer Prognosis
September 24, 2021 — Owkin, a startup that deploys artificial intelligence (AI) and Federated Learning technologies to...
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Paige Prostate, is the first artificial intelligence (AI)-based software designed to identify an area of interest on the prostate biopsy image with the highest likelihood of harboring cancer so it can be reviewed further by the pathologist if the area of concern has not been identified on initial review.
News | Digital Pathology | September 22, 2021
FDA Authorizes Software That Can Help Identify Prostate Cancer
September 22, 2021 — The U.S. Food and Drug Administration authorized marketing of software to assist medical...
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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.

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News | Artificial Intelligence | September 22, 2021
AI Predicts Risk of Breast Cancer Recurrence for Women
September 22, 2021 — The RACE AI study conducted by Gustave Roussy and the startup Owkin, as part of the AI for Health...
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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
HealthMyne’s Radiomic Technology Leveraged to Identify Biomarkers That Predict Immunotherapy Treatment Responses
September 21, 2021 —  HealthMyne, a pioneer in applied radiomics, announced today that peer-reviewed research recently...
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News | Breast Imaging | September 20, 2021
ImageCare Centers Unveils PINK Better Mammo Service Featuring Profound AI
September 20, 2021 — ImageCare Centers is unveiling its new “PINK Better Mammo” service with the addition of ProFound...
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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
Trends in Breast Ultrasound
The breast ultrasound market is seeing growth, driven largely by the proliferation of recent legislation aimed at...
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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

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Feature | Mammography | September 15, 2021 | By Christopher Austin, M.D. and Randy D. Hicks, M.D., MBA
The Essential Role of Breast Positioning
During mammography, proper breast positioning is critical to the radiologist’s ability to identify potential lesions,...
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Changing business models require the adoption of new technologies to remain efficient and effective
Feature | Information Technology | September 15, 2021 | By Chris Patrick
Streamlining Productivity with Radiology Informatics
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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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.

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Feature | Information Technology | September 14, 2021 | By Jef Williams
Adopting Cloud — A Path Forward
Cloud solutions have been discussed and promoted within healthcare for more than 10 years. I recall the early 2010s...
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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
Incorporating Artificial Intelligence Into MRI
According to a new report produced by Grand View Research, the global magnetic resonance imaging (MRI) market size was...
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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
How SDR is Enabling the Emerging Field of Microwave Tomography
While microwave tomography (MWT) imaging has been around for a few decades, advances in computing power, artificial...
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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
FDA Clears Fully Automated Cardiac Ultrasound Solution to Measure 2D and Doppler
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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Plan to attend RSNA21 at McCormick Place Chicago, Nov. 28 – Dec. 2, 2021

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News | RSNA | September 13, 2021
RSNA 2021 Showcases Latest Imaging Technologies, Solutions
September 13, 2021 — The Radiological Society of North America (RSNA) today announced highlights of the Technical...
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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
Artificial Intelligence Could Help Diagnose Lung Cancer a Year Earlier
September 8, 2021 — An artificial intelligence (AI) program can spot signs of lung cancer on computed tomography (CT)...
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Videos | Enterprise Imaging | September 03, 2021
VIDEO: Examples of Improved PACS Workflow to Aid Speed and Efficiency 
ITN Editor Dave Fornell collected numerous examples of how PACS and enterprise imaging vendors are improving the speed...
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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.

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News | Artificial Intelligence | September 02, 2021
Insufficient Evidence That AI Breast Cancer Screening is Accurate Enough to Replace Human Scrutiny
September 2, 2021 — Humans still seem to be better than technology when it comes to the accuracy of spotting possible...
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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
Scientists Create a Labor-saving Automated Method for Studying Electronic Health Records
September 2, 2021 — In an article published in the journal Patterns, scientists at the Icahn School of Medicine at...
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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
Carestream Unveils New Features to Improve Workflow, Patient Comfort with DRX-Evolution Plus
August 30, 2021 — Carestream Health has enhanced its premium X-ray system, the DRX-Evolution Plus. New features —...
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Videos | Information Technology | August 30, 2021
VIDEO: Coordinating Followup for Radiology Incidental Findings
David Danhauer, M.D., FAAP, FHIMSS, chief medical information officer, Owensboro Health, Owensboro, Ky., explains the...
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Videos | Enterprise Imaging | August 27, 2021
VIDEO: Importance of Body Part Labeling in Enterprise Imaging
Alex Towbin, M.D., Cincinnati Children’s Hospital Medical Center CMIO, Radiology Department associate chief of clinical...
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