Radiological Society of North America (RSNA)

The Radiological Society of North America (RSNA) is a non-profit organization that represents 31 radiologic subspecialties from 145 countries around the world. We provide high-quality educational resources, including continuing education credits toward physicians’ certification maintenance, host the world’s largest radiology conference and publish five top peer-reviewed journals.

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MRI system advances include helium-free MRI systems (left is Philips version of this system), and compressed sensing (right, GE's version of this technology), which can greatly reduce scan times. Both technologies were mentioned in an overview by Signet Research of new tech that will be at RSNA 2022.

VIDEO: Overview of MRI market and technology trends

Bhvita Jani, research manager, Signify Research, explains some key trends and technology advances in the magnetic resonance imaging (MRI) market leading into the Radiological Society of North America (RSNA) 2022 meeting. 

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Top MRI trends include helium-free systems, compressed sensing and AI

Signify Research outlines several key technologies and trends in MRI to look for at the Radiological Society of North America 2022 meeting.

A GE Revolution CT system on display at the 2022 Society of cardiovascular Computed Tomography (SCCT) meeting is an example of the types of the systems being sought in the U.S. and Western Europe replacement CT market. It features AI enhanced features to automate protocol and help reduce dose, 160 mm of anatomical coverage per rotation and offers spectral imaging using fast kV switching between different energies during one scan.

Trends and new technology in computed tomography systems

Leading up to the 2022 RSNA meeting, Signify Research shares the trends and new innovations in CT scanner technology it has seen in recent years.

Advances in computed tomography scanner (CT) technology include photon-counting (Siemens image left) and faster, higher slice CT systems with integrated AI. Right image is GE Healthcare's Revolution on display at SCCT 2022. Trends in CT imaging by Signify Research.

VIDEO: CT imaging market trends and advances overview by Signify Research

Bhvita Jani, research manager, Signify Research, explains key trends and technology advances in the computed tomography (CT) market. 

Constance "Connie" Lehman, MD, PhD,, chief of breast imaging, co-director of the Avon Comprehensive Breast Evaluation Center at the Massachusetts General Hospital, and professor of radiology at Harvard Medical School, discusses trends in breast imaging.

VIDEO: Connie Lehman discusses trends in breast imaging

Connie Lehman, MD, PhD, chief of breast imaging, co-director of the Avon Comprehensive Breast Evaluation Center at the Massachusetts General Hospital, and professor of radiology at Harvard Medical School, discusses trends she sees in breast imaging.

Breast screening mammogram during the COVID pandemic. COVID significantly impacted breast imaging. Image courtesy of Novant Health

VIDEO: Impact of COVID on breast imaging

Connie Lehman, MD, PhD, chief of breast imaging, co-director of the Avon Comprehensive Breast Evaluation Center at the Massachusetts General Hospital, discusses the challenges of the COVID-19 pandemic on breast screenings, increased cancer rates and issues with the vaccines causing false positives on mammograms.

Charles E. Kahn, Jr., MD, MS, Editor of the the journal Radiology: Artificial Intelligence, and professor and vice chair of radiology at the University of Pennsylvania Perelman School of Medicine. He has been heavily involved in radiology informatics and has seen up close the evolution of radiology toward deeper integration with AI. #RSNA

VIDEO: Use cases and implementation strategies for radiology artificial intelligence

Charles Kahn, Jr., MD, editor of the the journal Radiology: Artificial Intelligence, and professor and vice chair of radiology at the University of Pennsylvania Perelman School of Medicine, explains the work involved integrating AI in radiology systems and the role of AI in augmenting patient care.
 

Charles E. Kahn, Jr., MD, MS, editor of the the RSNA journal Radiology: Artificial Intelligence, and professor and vice chair of radiology at the University of Pennsylvania Perelman School of Medicine. He discusses the need to validate artificial intelligence (AI) algorithms with your own patient population to determine if it is accurate for a specific institutions patients. He also explains how bias can be inadvertently added into a algorithm, and how the AI may take learning shortcuts. #AI

VIDEO: Assessing radiology AI and understanding programatic bias 

Charles E. Kahn, Jr., MD, MS, editor of the the RSNA  journal Radiology: Artificial Intelligence, and professor and vice chair of radiology at the University of Pennsylvania Perelman School of Medicine, discusses the need to validate AI algorithms with your own patient population data.  

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