Andrew David Tannenbaum MD, Presenter: Nothing to Disclose

Jose Cayere, Abstract Co-Author: Nothing to Disclose

Kitt Shaffer MD, PhD, Abstract Co-Author: Nothing to Disclose

1. Understand the limitations and tradeoffs of current testing methods: multiple choice vs. oral boards vs. OSCE 2. Gain a basic understanding of the fundamental concepts associated with natural language processing 3. Learn about a new system that provides an extensible natural language processing framework and how it can be applied to radiological testing. 4. Understand how a natural language processing system-based examination may provide a superior testing environment for radiologists in comparison to the current methods. 5. Understand how the new system can be used for a variety of tasks including (but not limited to) formalized testing, self-assessment and content review.  

A. Current state of radiology testing: from oral boards to multiple choice examinations B. Disadvantages of multiple choice testing. C. Advantages of simulated reporting environment for competency evaluation D. Overview of current NLP system, from inception to current status E. Current projects implementing NLP F. Future uses of the NLP system  

http://abstract.rsna.org/uploads/2014/14019252/14019252_9zlo.pdf

Tannenbaum, A, Cayere, J, Shaffer, K, The Death of Multiple Choice? Natural Language Processing as a New Testing Paradigm in Radiology.  Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL. http://archive.rsna.org/2014/14019252.html