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Study Findings from University Hospital Provide New Insights into Artificial Intelligence (Integrating Digital Pens in Breast Imaging for Instant...

July 7, 2014

Study Findings from University Hospital Provide New Insights into Artificial Intelligence (Integrating Digital Pens in Breast Imaging for Instant Knowledge Acquisition)

By a News Reporter-Staff News Editor at Robotics & Machine Learning -- New research on Artificial Intelligence is the subject of a report. According to news reporting originating from Erlangen, Germany, by VerticalNews correspondents, research stated, "Future radiology practices assume that the radiology reports should be uniform, comprehensive, and easily managed. This means that reports must be readable to humans and machines alike."

Our news editors obtained a quote from the research from University Hospital, "In order to improve reporting practices in breast imaging, we allow the radiologist to write structured reports with a special pen on paper with an invisible dot pattern. In this way, we provide a knowledge-acquisition system for printed mammography patient forms for the combined work with printed and digital documents. In this domain, printed documents cannot be easily replaced by computer systems because they contain free-form sketches and textual annotations, and the acceptance of traditional PC reporting tools is rather low among the doctors. This is due to the fact that current electronic reporting systems significantly add to the amount of time it takes to complete the reports. We describe our real-time digital paper application and focus on the use case study of our deployed application. We think that our results motivate the design and implementation of intuitive pen-based user interfaces for the medical reporting process and similar knowledge work domains."

According to the news editors, the research concluded: "Our system imposes only minimal overhead on traditional form-filling processes and provides for a direct, ontology-based structuring of the user input for semantic search and retrieval applications, as well as other applied artificial intelligence scenarios, which involve manual form-based data acquisition."

For more information on this research see: Integrating Digital Pens in Breast Imaging for Instant Knowledge Acquisition. AI Magazine, 2014;35(1):26-37. AI Magazine can be contacted at: Amer Assoc Artificial Intell, 445 Burgess Drive, Menlo Pk, CA 94025-3496, USA.

The news editors report that additional information may be obtained by contacting D. Sonntag, University Hospital Erlangen, Diagnost Radiol Residency Program, Erlangen, Germany. Additional authors for this research include M. Weber, A. Cavallaro and M. Hammon.

Keywords for this news article include: Europe, Germany, Erlangen, Artificial Intelligence

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC

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Source: Robotics & Machine Learning

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