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.

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...
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...
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2
News | Artificial Intelligence | March 24, 2020
March 24, 2020 — Qure.ai, a leading healthcare...
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...
#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 ...
Varian received FDA clearance for its Ethos therapy in February 2020. It is an adaptive intelligence solution that uses onboard AI in the treatment system to take the cone beam CT imaging on the system, compare it to the treatment plan and deliver an entire adaptive treatment plan in a typical 15-minute treatment time slot, from patient setup through treatment delivery.

Varian received FDA clearance for its Ethos therapy in February 2020, shown here displayed for the first time at ASTRO 2019. It is an adaptive intelligence solution that uses onboard AI in the treatment system to take the cone beam CT imaging on the system, compare it to the treatment plan and deliver an entire adaptive treatment plan in a typical 15-minute treatment time slot, from patient setup through treatment delivery.

Feature | Treatment Planning | March 19, 2020 | Dave Fornell, Editor
The traditional treatment planning process takes days to create an optimized radiation therapy delivery plan, but new...
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...
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...
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,...
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus
Feature | Coronavirus (COVID-19) | March 04, 2020 | Jilan Liu and HIMSS Greater China Team
Information technologies have played a pivotal role in China’s response to the...
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...
Smart Algorithms May Relieve Interoperability Issues

Image courtesy of Pixabay

Sponsored Content | Blog | Artificial Intelligence | March 02, 2020
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...
Qure.ai, a leading healthcare AI startup
News | Artificial Intelligence | February 27, 2020
February 27, 2020 — Qure.ai, a leading healthcare AI startup has...
Sponsored Content | Videos | Artificial Intelligence | February 21, 2020
In Artificial Intelligence at RSNA 2019, ITN Contributing Editor Greg Freiherr offers an overview of artificial...