Automatic Determination of the Need for Intravenous Contrast in Musculoskeletal MRI Examinations Using IBM Watson’s Natural Language Processing Algorithm

Characterization of Change and Significance for Clinical Findings in Radiology Reports Through Natural Language Processing

(2017) Saeed Hassanpour et al.   JOURNAL OF DIGITAL IMAGING

SVM and SVM Ensembles in Breast Cancer Prediction

(2017) Min-Wei Huang et al.   PLoS One

Information extraction from multi-institutional radiology reports

(2016) Saeed Hassanpour et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Natural Language Processing in Radiology: A Systematic Review

(2016) Ewoud Pons et al.   RADIOLOGY

Identification of Neuroradiology MRI Protocol Errors via a Quality-Driven Categorization Approach

(2016) Daniel Thomas Ginat et al.   Journal of the American College of Radiology

Introduction to “This is Watson”

(2016) D. A. Ferrucci   IBM JOURNAL OF RESEARCH AND DEVELOPMENT

Improving the Quality of Imaging in the Emergency Department

(2015) C. Craig Blackmore et al.   ACADEMIC EMERGENCY MEDICINE

Deep learning

(2015) Yann LeCun et al.   NATURE

Text Mining Infrastructure inR

(2015) Ingo Feinerer et al.   Journal of Statistical Software

Protocol Design and Optimization

(2014) Giles W. Boland et al.   Journal of the American College of Radiology

Watson: Beyond Jeopardy!

(2012) David Ferrucci et al.   ARTIFICIAL INTELLIGENCE

Reducing inappropriate diagnostic practice through education and decision support

(2010) P. J. Bairstow et al.   INTERNATIONAL JOURNAL FOR QUALITY IN HEALTH CARE

Discerning Tumor Status from Unstructured MRI Reports—Completeness of Information in Existing Reports and Utility of Automated Natural Language Processing

(2009) Lionel T. E. Cheng et al.   JOURNAL OF DIGITAL IMAGING

Automated Detection of Radiology Reports that Document Non-routine Communication of Critical or Significant Results

(2009) Paras Lakhani et al.   JOURNAL OF DIGITAL IMAGING