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.

A new artificial intelligence (AI) algorithm can identify when medical images are likely to be difficult for either a radiologist or AI to make an effective diagnosis.
News | Artificial Intelligence | September 30, 2020
AI Algorithm Detects Difficult to Read Medical Images
September 30, 2020 — A new artificial intelligence (AI) algorithm can identify when medical images are likely to be...
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Siemens Healthineers and WakeMed Health & Hospitals have established a 10-year, patient-focused, Value Partnership to innovate care delivery and improve patient outcomes through robotics initiatives, advanced imaging capabilities and artificial intelligence, along with provider and staff training.
News | Radiology Business | September 30, 2020
Siemens Healthineers and WakeMed Announce Innovative Relationship to Advance Care and Improve Outcomes
September 30, 2020 — Siemens Healthineers and WakeMed Health & Hospitals have established a 10-year, patient-...
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The artificial intelligence-driven Caption Guidance software guides point of care ultrasound (POCUS) users to get optimal cardiac ultrasound images. The AI software is an example of a FDA-cleared software that is helping improve imaging, even when used by less experienced users.

The artificial intelligence-driven Caption Guidance software guides point of care ultrasound (POCUS) users to get optimal cardiac ultrasound images. The AI software is an example of a FDA-cleared software that is helping improve imaging, even when used by less experienced users.

Feature | Artificial Intelligence | September 29, 2020 | Joe Fornadel, J.D., and Wes Moran, J.D.
Recent Developments in Artificial Intelligence and the Accompanying Liability Risks
The number of Federal Drug Administration (FDA)-approved AI-based algorithms is significant and has grown at a steady...
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Videos | Artificial Intelligence | September 25, 2020
VIDEO: Use of Artificial Intelligence in Nuclear Imaging
Ernest Garcia, Ph.D., MASNC, FAHA, endowed professor in cardiac imaging, director of nuclear cardiology R&D...
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Lung and respiratory health pioneer paves way for more precise care of complex respiratory conditions
News | Artificial Intelligence | September 25, 2020
VIDA Receives FDA Clearance for Deep Learning-based Enhancements to LungPrint Solution
September 25, 2020 — VIDA Diagnostics, Inc. announced that it has received 510(k) clearance from the Food and Drug...
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EchoGo Pro automates cardiac ultrasound measurements for heart functions, but also empower physicians to predict the occurrence of coronary artery disease (CAD).

EchoGo Pro automates cardiac ultrasound measurements for heart functions, but also empower physicians to predict the occurrence of coronary artery disease (CAD).

News | Cardiovascular Ultrasound | September 25, 2020
Ultromics Earns Frost & Sullivan Innovation Award for Pioneering AI-based Cardiac Echo Software
September 25, 2020 — Based on its recent analysis of the global artificial intelligence (AI)-based echocardiography...
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RADLogics AI-Powered solution in use: chest X-ray of COVID-19 positive case with heatmap key image.

RADLogics AI-Powered solution in use: chest X-ray of COVID-19 positive case with heatmap key image.

News | Artificial Intelligence | September 23, 2020
RADLogics FDA Cleared for Novel AI-powered Chest X-ray Application
September 23, 2020 — RADLogics announced that the company’s novel AI-powered chest X-ray pneumothorax application has...
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The cartilage in this MRI scan of a knee is colorized to show greater contrast between shades of gray.

The cartilage in this MRI scan of a knee is colorized to show greater contrast between shades of gray. Image courtesy of Kundu et al. (2020) PNAS

News | Artificial Intelligence | September 22, 2020
Artificial Intelligence Detects Osteoarthritis Years Before it Develops
September 22, 2020 — Researchers at the University of Pittsburgh School of Medicine and Carnegie Mellon University...
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Of all the buzzwords one would have guessed would dominate 2020, few expected it to be “virtual”. We have been virtualizing various aspects of our lives for many years, but the circumstances of this one has moved almost all of our lives into the virtual realm.

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Feature | Radiology Education | September 18, 2020 | By Jef Williams
Extracting Value From Virtual Events
Of all the buzzwords one would have guessed would dominate 2020, few expected it to be “virtual”. We have been...
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As the silos of data and diagnostic imaging PACS systems are being collapsed and secured, the modular enterprise imaging platform approach is gaining significance, offering systemness and security
Feature | Coronavirus (COVID-19) | September 18, 2020 | By Anjum M. Ahmed, M.D., MBBS, MBA, MIS
4 Reasons Why Health Systems Need to Implement Enterprise Imaging Platforms
COVID-19 is now everywhere, and these are the longest months in my career when I have not traveled or met in person...
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TRU-Vu Monitors, a leading provider of medical-grade video displays and medical-grade touch screens, has introduced a new 21.5” medical display
News | Flat Panel Displays | September 16, 2020
New Medical-Grade Monitor Ideal Against COVID-19 Virus
September 16, 2020 — TRU-Vu Monitors, a leading provider of medical-grade video displays and medical-grade touch...
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News | Artificial Intelligence | September 16, 2020
AeroRemote Insights Now Compatible with Additional Konica Minolta X-ray Systems
September 16, 2020 — Konica Minolta Healthcare Americas, Inc. announced the latest release of AeroRemote Insights, a...
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Change Healthcare announced innovative new artificial intelligence (AI) models, trained by expert physicians, which extract meaningful diagnostic information from text in EHRs. The first application of this technology will be within the InterQual AutoReview solution, which automates medical necessity reviews using real-time data from EHRs.
News | Artificial Intelligence | September 14, 2020
Change Healthcare Artificial Intelligence Decreases Administrative Burden of Case Management
September 14, 2020 — Change Healthcare announced innovative new artificial intelligence (AI) models, trained by expert...
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The Radiological Society of North America (RSNA) has launched its fourth annual artificial intelligence (AI) challenge, a competition among researchers to create applications that perform a clearly defined clinical task according to specified performance measures. The challenge for competitors this year is to create machine-learning algorithms to detect and characterize instances of pulmonary embolism.

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News | Artificial Intelligence | September 11, 2020
RSNA Launches Pulmonary Embolism AI Challenge
September 11, 2020 — The Radiological Society of North America (RSNA) has launched its fourth annual artificial...
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Six months after deployment, the no-show rate of the predictive model was 15.9%, compared with 19.3% in the preceding 12-month preintervention period — corresponding to a 17.2% improvement from the baseline no-show rate (p < 0.0001). The no-show rates of contactable and noncontactable patients in the group at high risk of appointment no-shows as predicted by the model were 17.5% and 40.3%, respectively (p < 0.0001).

Weekly outpatient MRI appointment no-show rates for 1 year before (19.3%) and 6 months after (15.9%) implementation of intervention measures in March 2019, as guided by XGBoost prediction model. Squares denote data points. Courtesy of the  American Roentgen Ray Society (ARRS), American Journal of Roentgenology (AJR)

News | Artificial Intelligence | September 10, 2020
Artificial Intelligence Helps Cut Down on MRI No-shows
September 10, 2020 — According to ARRS’ American Journal of Roentgenology (AJR), artificial intelligence (AI)...
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Exa Gateway connects hospital radiology departments, radiology practices and teleradiologists through technology and services to enable cost-effective and efficient remote reading capabilities.

Exa Gateway connects hospital radiology departments, radiology practices and teleradiologists through technology and services to enable cost-effective and efficient remote reading capabilities.

News | Teleradiology | September 10, 2020
New Exa Gateway Delivers a Secure and Cost-Effective Remote Reading Platform
September 10, 2020 — As radiology practices reopen after limiting their services due to COVID-19, remote reading and...
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Acquisition accelerates Radiology Partners’ mission to transform radiology, offer unparalleled clinical value and service at scale and further elevate the role of radiologists within the healthcare field

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News | Radiology Business | September 10, 2020
Radiology Partners Set to Acquire MEDNAX Radiology Solutions
September 10, 2020 — Radiology Partners (RP), a leading radiology practice in the U.S., announced a definitive...
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News | Electronic Medical Records (EMR) | September 10, 2020
DRChrono Adds New Features: Live Chat and Prescription Drug Monitoring Program
September 10, 2020 — DrChrono Inc., the company developing the essential platform and services for modern medical...
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Vantage Galan with Advanced intelligent Clear-IQ Engine (AiCE) provides high-quality images and fast exam times

Coronal orbit images: Left original and right with AiCE.

News | Magnetic Resonance Imaging (MRI) | September 09, 2020
UC San Diego Health First in U.S. to Install Canon Medical’s 3T MRI System with AI-Based Reconstruction Technology
September 9, 2020 — Clinicians at the University of California, San Diego Health now have access to Canon Medical...
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The world market for artificial intelligence (AI)-based clinical applications for use in medical imaging is set to reach almost $1.5 billion by 2024 despite a slower-than-expected uptake of these products and the impact of the COVID-19 pandemic.
Feature | Artificial Intelligence | September 09, 2020 | Sanjay M Parekh, Ph.D.
AI in Medical Imaging Market to Reach $1.5B by 2024
The world market for artificial intelligence (AI)-based clinical applications for use in medical imaging is set to...
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