Third acquisition in six months strengthens Intelerad’s position in medical image management and increases viewing capabilities and ROI for customers 
News | PACS | July 08, 2021
July 8, 2021 — Intelerad Medical Systems, a global leader in medical image management solutions, announced its...
Identify key downstream beneficiaries of imaging AI and its potential impact on their clinical practice and outcomes
Sponsored Content | Webinar | Artificial Intelligence | July 08, 2021
Imaging AI has come a long way in just a few years. More than 30% of radiologists have adopted AI, citing improved...
Annalise.ai has launched its comprehensive chest X-ray AI solution Annalise CXR, which detects 124 clinical findings and is a decision support tool for radiologists and clinicians. The company was originally formed as a joint venture between Australian healthcare technology company Harrison.ai and one of the world’s largest radiology companies, I–MED Radiology Network. 
News | X-Ray | July 07, 2021
July 7, 2021 — Annalise.ai has launched its comprehensive chest X-ray AI solution Annalise CXR, which detects 124...
Flywheel, a leading cloud-scale informatics platform for medical research and collaboration, and HealthMyne, a pioneer in applied radiomics, announced today a partnership that will combine the companies’ technologies to accelerate radiomics research and advance clinical trials outcomes for life sciences and clinical research clients.
News | Artificial Intelligence | July 07, 2021
July 7, 2021 — Flywheel, a leading cloud-scale informatics platform for medical research and collaboration, and ...
The demands on radiologists have become more complex which has led to the need to have greater control over how technology supports the goals and objectives of the organization

Getty Images

Feature | Information Technology | July 06, 2021 | By Jef Williams
I have had the privilege of watching our industry grow and evolve over the past 20 years. My introduction to the...
The role of digital health solutions in preparing for future epidemics and pandemics

Getty Images

Feature | Radiology Business | July 06, 2021 | By Muhammad Ali Chaudhry, M.D., MBA
The unprecedented impacts and consequential social, economic and humanitarian needs introduced or exacerbated by COVID-...
A study of more than 1,000 patients who underwent cardiac ultrasound with the Butterfly POCUS system, which turns smartphones into echo systems, was presented with positive results at the 2019 ASE meeting. 
Feature | Radiology Business | July 06, 2021 | By Dave Fornell
There is a lot of talk about health disparities between the insured vs. uninsured, low-income vs. higher-income, rural...
Picture archiving communication systems, or PACS, have been the foundation of medical imaging for healthcare organizations. Introduced in the 1980s, organizations have used PACS to store and call up images for reading for departments such as cardiology, radiology and more

Getty Images

Sponsored Content | Case Study | PACS | July 06, 2021
As healthcare providers aim to deliver high-quality, coordinated care and improve patient outcomes they must find ways...
For some imaging departments, the virus uncovered a disconnect between the imaging technology they have and what they need to thrive

Getty Images

Feature | Radiology Business | July 06, 2021 | By Guido Stoeckmann
Healthcare is still reeling from the unforeseen disruption that COVID-19 has caused throughout the industry. For some...
Studies conducted by Mass General Hospital and University of Virginia have concluded that PixelShine, a disruptive technology from AlgoMedica, significantly improved the diagnostic quality of CT scans acquired at reduced radiation dose. Here, you can see before and after noise reduction is applied.

Studies conducted by Mass General Hospital and University of Virginia have concluded that PixelShine, a disruptive technology from AlgoMedica, significantly improved the diagnostic quality of CT scans acquired at reduced radiation dose. Here, you can see before and after noise reduction is applied.

Feature | Computed Tomography (CT) | July 02, 2021 | By Mikael Strindlund
Computed tomography (CT) imaging has broad diagnostic application and is the imaging gold standard for many clinical...
The pandemic threw everyone a curve ball that most didn’t see coming, at least at the magnitude that it hit. The year brought about a lot of change — which built some new models for business operation, and opened up avenues of discussion for others.

Getty Images

Blog | Coronavirus (COVID-19) | July 02, 2021
Slowly, we are seeing our world come back into focus. The pandemic threw everyone a curve ball that most didn’t see...
VUNO’s road-tested, clinically-proven chest X-ray detection software is reshaping the delivery of medical imaging diagnostics by being fully integrated with Samsung Electronics’ X-ray system
News | Artificial Intelligence | July 01, 2021
July 1, 2021 —South Korean artificial intelligence (AI) developer, VUNO Inc., announced today a partnership with...
HIMSS21 is a COVID-19 Vaccination Required Event for all attendees, exhibitors, and HIMSS staff

Getty Images

News | HIMSS | July 01, 2021
July 1, 2021 — If you are traveling to HIMSS21 in August, be sure to note that the Healthcare Information and...
IQ-AI subsidiary Imaging Biometrics (IB) was awarded a U.S. patent for its artificial intelligence (AI) software technology that eliminates the need for gadolinium-based contrast agents (GBCAs) in medical imaging exams.
News | Contrast Media | June 30, 2021
June 30, 2021 – IQ-AI subsidiary Imaging Biometrics (IB) was awarded a U.S. patent for its artificial intelligence (AI...
RaySearch Laboratories AB announced an extension of its relationship with Centre hospitalier universitaire vaudois (CHUV) in Lausanne, Switzerland, which will include orders for RayStation RayCare and RayIntelligence. 
News | Oncology Information Management Systems (OIMS) | June 28, 2021
June 28, 2021 — RaySearch Laboratories AB announced an extension of its relationship with Centre hospitalier...
Siemens Healthineers and Prisma Health announced today a 10-year strategic relationship to help create a better state of health for South Carolina.
News | Radiology Business | June 28, 2021
June 28, 2021 — Siemens Healthineers and Prisma Health announced today a 10-year strategic relationship to help create...
Breast cancer recently surpassed lung cancer as the number 1 diagnosed cancer in the U.S., excluding nonmelanoma skin cancer. Additionally, the National Cancer Institute recently predicted an almost 10,000 excess deaths from breast and colorectal cancers over the next 10 years as a direct result of the pandemic, making it now more important than ever for women to take control over their breast health.
News | Artificial Intelligence | June 25, 2021
June 25, 2021 — Breast cancer recently surpassed lung cancer as the number 1 diagnosed cancer in the U.S., excluding...
Sponsored Content | Blog | Enterprise Imaging | June 25, 2021
  Large radiology groups often face challenges distributing workflow effectively and fairly across the organization....
COVID-19 progression over 4 days in a 28-year-old man. This posteroranterior chest X-ray \ shows bilateral multiple peripheral and lower lobe ground glass opacities (GGOs) shown by the arrows. Image courtesy of Margarita Revzin et al. 

COVID-19 progression over 4 days in a 28-year-old man. This posteroranterior chest X-ray \ shows bilateral multiple peripheral and lower lobe ground glass opacities (GGOs) shown by the arrows. Image courtesy of Margarita Revzin et al. 

News | Artificial Intelligence | June 24, 2021
June 24, 2021 — Artificial intelligence promises to be a powerful tool for improving the speed and accuracy of medical...
Researchers have developed an artificial intelligence (AI)-based brain age prediction model to quantify deviations from a healthy brain-aging trajectory in patients with mild cognitive impairment, according to a study published in Radiology: Artificial Intelligence. The model has the potential to aid in early detection of cognitive impairment at an individual level.

Flowchart showing the framework of the brain age prediction model. A, The imaging data were split into training and test datasets. The training dataset consisted of structural magnetic resonance imaging data from 974 healthy individuals, whereas the test dataset included data from 2 groups, 231 healthy controls and 224 aMCI subjects. B, A Conventional Statistical Parametric Mapping structural preprocessing pipeline was used to generate GMV maps in the MNI space. C, The intensity values from the GMV maps were extracted and concatenated to create a feature matrix that was then cleaned and normalized. D, The best elastic net model was obtained by performing supervised learning on the training dataset. To optimize the hyperparameters, a grid search was performed. E, The test dataset was input into the trained model. An age was predicted for every participant included in the test dataset. The PAD scores were calculated by subtracting the participant's chronological age from his or her predicted age. aMCI = amnestic mild cognitive impairment, GMV = gray matter volume, MNI = Montreal Neurologic Institute, Dartel = Diffeomorphic Anatomic Registrations Through Exponentiated Lie Algebra, PAD = predicted age difference. Chart courtesy of Radiological Society of North America

News | Artificial Intelligence | June 23, 2021
June 23, 2021 — Researchers have developed an artificial intelligence (AI)-based brain age prediction model to quantify...