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.

AI tool predicts which patients newly infected with COVID-19 will eventually develop severe respiratory disease #COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2
News | Artificial Intelligence | March 31, 2020
March 31, 2020 — An artificial intelligence tool accurately predicted which patients newly infected with the COVID-19...
A physician working in a coronavirus care center nearby Daegu, South Korea, is using Lunit INSIGHT CXR to interpret chest X-ray image of a coronavirus patient. #COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2

A physician working in a coronavirus care center nearby Daegu, South Korea, is using Lunit INSIGHT CXR to interpret chest X-ray image of a coronavirus patient. Photo by Seoul National University Hospital

News | Artificial Intelligence | March 30, 2020
March 30, 2020 — Lunit, a medical AI software company that develops AI-powered analysis of lung diseases via chest X-...
CoronaCare is designed to help healthcare providers track COVID-19 (coronavirus) related symptoms of potentially infected patients. The platform enables communication with patients outside of facility walls and the ability to request the return of high-risk patients for more in-depth care. #COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2
News | Coronavirus (COVID-19) | March 27, 2020
March 27, 2020 — PaxeraHealth has spent years building and bettering its solutions and has been poised to respond to...
AI vendor Infervision's InferRead CT Pneumonia software uses artificial intelligence-assisted diagnosis to improve the overall efficiency of the radiology department. It is being developed in China as a high sensitivity detection aid for novel coronavirus pneumonia (COVID-19). #COVID19 #coronavirus #SARScov2

AI vendor Infervision's InferRead CT Pneumonia software uses artificial intelligence-assisted diagnosis to improve the overall efficiency of the radiology department. It is being developed in China as a high sensitivity detection aid for novel coronavirus pneumonia (COVID-19).

Feature | Coronavirus (COVID-19) | March 27, 2020 | Jilian Liu, M.D., HIMSS Greater China
An older couple walked into the Hubei Provincial Hospital of Integrated Chinese and Western Medicine near their...
Videos | Coronavirus (COVID-19) | March 25, 2020
Jilan Liu, M.D., MHA, CEO for the HIMSS Greater China, explains how health information technology (HIT) was leveraged...
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2
News | Artificial Intelligence | March 24, 2020
March 24, 2020 — Qure.ai, a leading healthcare AI startup, announced it has developed additional capabilities for their...
Advanced intelligent Clear-IQ Engine (AiCE) is pending 510(k) clearance on the Aquilion ONE / PRISM Edition and Aquilion Prime SP CT systems, as well as the Vantage Galan 3T and Vantage Orian 1.5T MR systems
News | Artificial Intelligence | March 23, 2020
March 23, 2020 — Canon Medical Systems USA, Inc. has received 510(k) clearance on its Advanced intelligent Clear-IQ...
Instant triage capability could potentially speed up diagnosis of COVID-19 individuals and ensure resources allocated properly.
News | Artificial Intelligence | March 23, 2020
March 23, 2020 — behold.ai announced that its artificial intelligence-based red dot algorithm quickly identifies chest...
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2

Representative examples of the attention heatmaps generated using Grad-CAM method for (a) COVID-19, (b) CAP, and (c) Non-Pneumonia. The heatmaps are standard Jet colormap and overlapped on the original image, the red color highlights the activation region associated with the predicted class. COVID-19 = coronavirus disease 2019, CAP = community acquired pneumonia. Image courtesy of the journal Radiology

News | Coronavirus (COVID-19) | March 20, 2020
March 20, 2020 — An artificial intelligence deep learning model can accurately detect COVID-19 and differentiate it...
RSIP Vision, a global leader in artificial intelligence (AI) and computer vision technology, announced a new innovative AI-based solution for 3-D reconstruction of knees from X-ray images
News | Artificial Intelligence | March 18, 2020
March 18, 2020 — RSIP Vision, a global leader in artificial intelligence (AI) and computer vision technology, announced...
The study concludes that a combination of Artificial Intelligence algorithms and the interpretations of radiologists could, in the U.S. alone, result in a half million women not having to undergo unnecessary diagnostic tests every year

Researchers who participated in the DM (digital mammography) DREAM Challenge.

News | Mammography | March 07, 2020
March 7, 2020 — The study is based on the results obtained in the Digital Mammography (DM) DREAM Challenge, an...
Schematic depiction of the automated process for assessing fat, muscle, liver, aortic calcification, and bone from original abdominal CT scan data

Figure 1: Depiction of the fully automated CT biomarkers tools used in this study. (A) Schematic depiction of the automated process for assessing fat, muscle, liver, aortic calcification, and bone from original abdominal CT scan data. (B) Case example in an asymptomatic 52-year-old man undergoing CT for colorectal cancer screening. At the time of CT screening, he had a body-mass index of 27·3 and Framingham risk score of 5% (low risk). However, several CT-based metabolic markers were indicative of underlying disease. Multivariate Cox model prediction based on these three CT-based results put the risk of cardiovascular event at 19% within 2 years, at 40% within 5 years, and at 67% within 10 years, and the risk of death at 4% within 2 years, 11% within 5 years, and 27% within 10 years. At longitudinal clinical follow-up, the patient suffered an acute myocardial infarction 3 years after this initial CT and died 12 years after CT at the age of 64 years. (C) Contrast-enhanced CT performed 7 months before death for minor trauma was interpreted as negative but does show significant progression of vascular calcification, visceral fat, and hepatic steatosis. HU=Hounsfield units.

News | Computed Tomography (CT) | March 06, 2020
March 6, 2020 — Researchers at the National Institutes of Health and the University of Wisconsin have demonstrated that...
CLEW announced that it will be demonstrating the industry’s first-ever AI-powered critical care solution
News | Artificial Intelligence | March 05, 2020
March 5, 2020 — CLEW announced that it will be demonstrating the industry’s first-ever AI-powered critical care...
Caption Health is now accepting pre-orders for Caption AI, the only FDA authorized AI-guided ultrasound system
News | Artificial Intelligence | March 05, 2020
March 5, 2020 — Caption Health, a medical AI company, announced that its flagship product, Caption AI, the first AI-...
TeraRecon will accelerate innovation in its advanced visualization and AI platforms for image-related decision support to clinical specialists

TeraRecon's End-to-End AI Ecosystem

News | Artificial Intelligence | March 04, 2020
March 4, 2020 — SymphonyAI Group, an operating group of leading business-to-business AI companies, today announced the...
Smart Algorithms May Relieve Interoperability Issues

Image courtesy of Pixabay

Sponsored Content | Blog | Artificial Intelligence | March 02, 2020
Artificial intelligence may be important not only to get image sharing technologies to work together – but to make...
AI vendor Infervision's InferRead CT Pneumonia software uses artificial intelligence-assisted diagnosis tp improve the overall efficiency of the radiology department. It is being delayed in China as a high sensitivity detection aid for novel coronavirus pneumonia (COVID-19). #COVID-19 #COVID19 #Coronavirus #2019-nCoV

AI vendor Infervision's InferRead CT Pneumonia software uses artificial intelligence-assisted diagnosis to improve the overall efficiency of the radiology department. It is being developed in China as a high sensitivity detection aid for novel coronavirus pneumonia (COVID-19).

Feature | Coronavirus (COVID-19) | February 28, 2020
February 28, 2020 — New healthcare technologies are being implemented in the fight against the novel coronavirus (COVID...
 LucidHealth, a physician-owned and led radiology company, announced today that it is using an AI-powered diagnostic aid from leading AI vendor Aidoc to help prioritize and expedite treatment to patients with critical, life-threatening conditions
News | Artificial Intelligence | February 28, 2020
February 28, 2020 — LucidHealth, a physician-owned and led radiology company, announced today that it is using an AI-...
Qure.ai, a leading healthcare AI startup
News | Artificial Intelligence | February 27, 2020
February 27, 2020 — Qure.ai, a leading healthcare AI startup has announced that they have raised $16M in a funding...
Sponsored Content | Videos | Artificial Intelligence | February 21, 2020
In Artificial Intelligence at RSNA 2019, ITN Contributing Editor Greg Freiherr offers an overview of artificial...