Radiological Society of North America (RSNA)

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Affordable COVID-19 Diagnoses for Hospitals: How Open Source Software Helps

The most common COVID-19 symptoms—such as coughing, fever, and shortness of breath—are shared with many other diseases. Diagnosing a patient accurately is therefore a challenge. Although a diagnosis of COVID-19 might not affect treatment, it would help a hospital predict a patient's trajectory and anticipate the need for urgent intervention. But current tests, relying on blood or mucus samples, are not particularly accurate. In this article, we'll see how open source software can help hospitals make better diagnoses. I'll concentrate on one specific role, and on the ways open source facilitates finding a solution and keeping it affordable. Many aspects of the problem feed into the solution discussed here. The article is based on work by researcher Trevor Grant.

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ClearCanvas To Showcase Its Imaging Informatics Infrastructure Portfolio At RSNA 2013

Press Release | ClearCanvas | November 27, 2013

Cleome and ImageDrive, ClearCanvas's Powerful New Informatics Solutions, Showcased at the World's Largest Radiology Innovation Gathering Read More »

IHE Standards Come Of Age In The Age Of Interoperability

Anthony Brino | Government Health IT | November 20, 2012

At the Radiological Society of North America’s annual conference this year, a real-world use case of Integrating the Healthcare Enterprise (IHE) medical image and personal health record standards is slated for demonstration. Read More »

Imaging To Take Greater Role In Patient Diagnostics, Health Reform

Mary Mosquera | Government Health IT | November 19, 2012

Imaging is on the cusp of taking a greater role in health IT and development of new payment and care delivery models with new applications and its use as a diagnostic tool earlier in the patient care process. Read More »

Kitware Participates in RSNA 2011

Rick Avila, Stephen Aylward, Julien Finet, Patrick Reynolds, and Wes Turner | Kitware Blog | December 16, 2011

Several members of the Kitware team attended RSNA from November 27-December 2. In addition to meeting with collaborators and exploring the exhibits, we were actively involved in demonstrating our newest work, teaching workshops and participating in exhibits. Read More »

Radiology Initiatives Illustrate Uses for Open Data and Open AI research

Fans of data in health care often speculate about what clinicians and researchers could achieve by reducing friction in data sharing. What if we had easy access to group repositories, expert annotations and labels, robust and consistent metadata, and standards without inconsistencies? Since 2017, the Radiological Society of North America (RSNA) has been displaying a model for such data sharing. That year marked RSNA's first AI challenge. RSNA has worked since then to make the AI challenge an increasingly international collaboration. Organizers of each challenge curate and annotate medical imaging studies and ask the research community to come up with models to answer important questions.

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RSNA Building an Open Repository of COVID-19 Imaging Data

Press Release | Radiological Society of North America (RSNA) | March 30, 2020

The medical imaging community around the world is uniting to help address the COVID-19 pandemic. The Radiological Society of North America (RSNA) continues to build on its extensive body of COVID-19 research and education resources, announcing a new initiative to build a COVID-19 Imaging Data Repository. The open data repository will compile images and correlative data from institutions, practices and societies around the world to create a comprehensive source for COVID-19 research and education efforts. The image hosting, annotation and analysis framework will enable researchers to understand epidemiological trends and to generate new AI algorithms to assist with COVID-19 disease detection, differentiation from other pneumonias and quantification of lung involvement on CT for prognosis or therapy planning.

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RSNA Launches International COVID-19 Open Radiology Database

Press Release | Radiological Society of North America (RSNA), RSNA COVID-19 AI Task Force | June 25, 2020

The Radiological Society of North America (RSNA) and the RSNA COVID-19 AI Task Force today announced the launch of the RSNA International COVID-19 Open Radiology Database (RICORD). RICORD is envisioned as the largest open database of anonymized COVID-19 medical images in the world. More than 200 institutions around the world have expressed their interest in participating. The database will include supporting clinical information and expert annotations. It will be freely available to the global research and education communities.

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University of Chicago Awarded $20 Million To Host COVID-19 Medical Imaging Center

Press Release | University of Chicago | August 7, 2020

A new center hosted at the University of Chicago-co-led by the largest medical imaging professional organizations in the country-will help tackle the ongoing COVID-19 pandemic by curating a massive database of medical images to help better understand and treat the disease. Led by Prof. Maryellen Giger of UChicago Medicine, the Medical Imaging and Data Resource Center (MIDRC) will create an open-source database with medical images from thousands of COVID-19 patients. The center will be funded by a two-year, $20 million contract from the National Institute of Biomedical Imaging and Bioengineering at the National Institutes of Health (NIH).

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