Efficiency Improvement in a Busy Radiology Practice: Determination of Musculoskeletal Magnetic Resonance Imaging Protocol Using Deep-Learning Convolutional Neural Networks

Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success

(2018) James H. Thrall et al.   Journal of the American College of Radiology

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

(2017) Hari Trivedi et al.   JOURNAL OF DIGITAL IMAGING

Detection and Labeling of Vertebrae in MR Images Using Deep Learning with Clinical Annotations as Training Data

(2017) Daniel Forsberg et al.   JOURNAL OF DIGITAL IMAGING

Patient Recall Imaging in the Ambulatory Setting

(2016) Soterios Gyftopoulos et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

(2016) Sergio Pereira et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks

(2016) Arnaud Arindra Adiyoso Setio et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Detection and Correction of Laterality Errors in Radiology Reports

(2015) Young Han Lee et al.   JOURNAL OF DIGITAL IMAGING

Deep learning

(2015) Yann LeCun et al.   NATURE

Prediction of Outcome in Acute Lower Gastrointestinal Bleeding Using Gradient Boosting

(2015) Lakshmana Ayaru et al.   PLoS One

Laterality Errors in Radiology Reports Generated With and Without Voice Recognition Software: Frequency and Clinical Significance

(2013) Marianne T. Luetmer et al.   Journal of the American College of Radiology

MRI: Time Is Dose—and Money and Versatility

(2010) William A. Edelstein et al.   Journal of the American College of Radiology

Errare Humanum Est: Frequency of Laterality Errors in Radiology Reports

(2009) Minal Jagtiani Sangwaiya et al.   AMERICAN JOURNAL OF ROENTGENOLOGY