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RSNA 2017 Annual Meeting - Radiological Society of North America

  • McCormick Place Convention Center, Chicago, Illinois
  • Nov 26 - Dec 1, 2017

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Why Attend

Event Overview:

RSNA 2017 invites radiologists to think Beyond Imaging and explore new ways to collaborate. From discovering unexpected learning opportunities to broadening participation in the larger medical community, this year’s theme encourages radiologists to envision their profession beyond imaging.

RSNA 2017 convenes radiology professionals from around the globe to gather knowledge through educational courses, explore the latest innovations presented by technical exhibitors, discover groundbreaking research from scientific paper presentations, and participate in networking opportunities. Don’t miss radiology’s premier annual event!

The Program That Transforms Clinical Care

World’s Finest Educational Program
Nearly 300 courses and more than 2,000 exhibits demonstrate techniques and explore issues affecting your profession.

Groundbreaking Science Unveiled
Nearly 3,000 scientific presentations reveal the latest developments in critical research and life saving clinical practice.

Revolutionary Global Technology
More than 600 exhibitors display the newest equipment, tools, supplies and software for your practice or institution.

Must-see Lectures from Global Leaders
Esteemed scientists and educators will deliver presentations addressing the challenges and triumphs of our specialty.

Exhibitor Information:

Unveil Your Innovations

RSNA is the most important exhibition for your company.

There is no better return on your marketing dollar than the RSNA annual meeting. It is where the biggest decision-makers in the industry come to see new products and developments in every subspecialty.
Start planning today!

About RSNA:

The Radiological Society of North America (RSNA®) is an international society of radiologists, medical physicists and other medical professionals with more than 54,000 members from 136 countries across the globe. RSNA hosts the world’s premier radiology forum, drawing approximately 55,000 attendees annually to McCormick Place in Chicago, and publishes two top peer-reviewed journals: Radiology, the highest-impact scientific journal in the field, and RadioGraphics, the only journal dedicated to continuing education in radiology.

Source : Event Website

Keynote Speakers

Roderic I. Pettigrew, PhD, MD

"Tomorrow’s Radiology"

Abstract

The overarching goal of the healthcare enterprise can be summarized in the two words, Healthy Longevity. The vision is straightforward: to be born healthy, acquire no significant disease, live a long and satisfying life, and when the end of life arrives, to do so without the accompaniment of pain and suffering from disease. Biomedical imaging has and will have a critical role in achieving this dream. Indeed, modern medicine and the medicine of tomorrow is unthinkable without biomedical imaging. Rather we envision an even greater and more integrated role in medical education, research and the practice of medicine. In each of these areas, the advent of virtual reality and augmented reality, where virtual and real images are superimposed and integrated, will catalyze remarkable advances in learning, discovery, skill honing and efficient and precise therapeutic interventions. Considering that imaging has been fundamentally described as the science of obtaining spatially and temporally resolved information across all biological scales, its role is central in realizing the promise of convergence or transdisciplinary science for accelerating advances in medical research. In the practice of medicine, where imaging guides much of the course of patient care, there is considerable promise in achieving increasingly higher-value imaging studies. Dramatic advances in speed of image data acquisition and clever yet scientifically sound methods for data handling, processing efficiency and information extraction will change the routine imaging paradigm to one that is more time efficient with greater diagnostic content. Scans can be much shorter with more targeted protocols, and when full studies are needed, these too will be acquired with rapid complete data sets that will obviate the need for further imaging. Interpretations will take advantage of quantitative data and assessments in which analytical tools integrate information across biological and physical datasets. The integration of genetic encoding, protein expression, metabolic action, tissue physiology with detected image features will characterize tomorrow's radiology. Much of this will be greatly aided by machine and deep learning giving rise to more timely and precise diagnostics and treatment. There is great hope for the synergistic role that machine learning will play, given the considerable investments in this field among academics and industry, and the growing public availability of large and comprehensive data sets. From these should come deeper insights into the mechanisms of disease, and how to detect disease early on, intervene and prevent illness. In radiology, machine learning will help improve imaging performance with technique optimization and efficiency, leverage modern data science by culling important information from the complete datasets, and share collective international expertise in image interpretation and assessment where this would be helpful. As we look toward the goal of Healthy Longevity, the radiology of tomorrow will be central in the transformation of the international medical ecosystem from one centered on disease treatment to one focused on health management.

Honored Educators

Presenters or authors on this event have been recognized as RSNA Honored Educators for participating in multiple qualifying educational activities. Honored Educators are invested in furthering the profession of radiology by delivering high-quality educational content in their field of study. Learn how you can become an honored educator by visiting the website at: https://www.rsna.org/Honored-Educator-Award/ Richard L. Ehman, MD - 2016 Honored Educator

 

Elias A. Zerhouni, MD

"Imaging Innovation in 21st Century Biomedicine: Challenges and Opportunities"

Abstract

Challenges and opportunities Healthcare challenges are mounting worldwide with unsustainable rising costs. Discovering new ways of lessening the impact of chronic diseases and aging which now contribute about 80 percent of these costs is a core public health challenge. Many acute conditions remain difficult to manage and previously controlled diseases are re-emerging. Recent scientific advances have revealed the enormous complexity of biological systems in health and disease. Numerous molecular tools from small to more complex molecules such as antibodies, proteins or RNAs have been developed to research and treat the specific molecular pathways of many diseases. Key to these efforts will be our ability to better understand the fundamental mechanisms of human diseases, to validate in patients the role and function of targets identified by research efforts and to develop large scale analyses of human genotypes and phenotypes to identify the relevant patient subpopulations. The prospect of intervening before deterioration of function by predicting which patients would most likely benefit from these novel therapeutics is the essence of the concept of PRECISION MEDICINE. The need to unravel the daunting complexity of biological systems and to understand human disease evolution with greater precision is the fundamental challenge for 21st century biomedicine. The imaging sciences have already played and will continue to play a critical and increasingly important role in biomedicine from preclinical to clinical applications as they uniquely enable the precise 3 dimensional localization of biological information and their evolution over time at molecular as well as full body and population scales. Today a major impediment to the development of novel therapeutics is the paucity of validated associative or predictive biomarkers that can inform investigators of the exact short and long term effects of their therapeutics in vivo. In oncology and autoimmune diseases for example we need to better understand the degree and dynamics of infiltration, activation and mobilization of immune cells in response to therapeutic agents at the site of pathology and not only in the blood circulation. Biopsies are useful but suffer from sampling errors and do not provide dynamic information. Recent advances with novel PET and SPECT isotopes with half-lifes consistent with the pharmacokinetics and pharmacodynamics of the multitude of novel therapeutic agents now in development is promising. Recent imaging advances increasingly provide accurate and quantitative estimates of the response of an organ over time as in the evaluation of brain structural changes which could become a critical biomarker for several degenerative brain diseases enabling selection and intervention PRIOR to irreversible loss of function. Another frontier will be the subclassification of disease states through the large scale comparative analyses of large human imaging databases enabling the radiologist to quickly characterize the stage and type of pathology relative to a large reference population database aided by artificial intelligence algorithms. This revolutionary step could provide medicine the ability to objectively classify and quantify diffuse and confounding disease states in multiple organs over time and enable what could be termed the era of PRECISION radiology.

Honored Educators

Presenters or authors on this event have been recognized as RSNA Honored Educators for participating in multiple qualifying educational activities. Honored Educators are invested in furthering the profession of radiology by delivering high-quality educational content in their field of study. Learn how you can become an honored educator by visiting the website at: https://www.rsna.org/Honored-Educator-Award/ Richard L. Ehman, MD - 2016 Honored Educator

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RSNA 2014 Annual Meeting - Radiological Society of North America Chicago Illinois - - Nov 30, 2014
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