Machine learning concepts, concerns and opportunities for a pediatric radiologist

Alzheimer rsquo s disease diagnostics by a 3D deeply supervised adaptable convolutional network

(2018) Mohammed Ghazal   Frontiers in Bioscience-Landmark

Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs

(2018) David B. Larson et al.   RADIOLOGY

The ACR Data Science Institute and AI Advisory Group: Harnessing the Power of Artificial Intelligence to Improve Patient Care

(2018) Geraldine B. McGinty et al.   Journal of the American College of Radiology

Protecting Your Patients’ Interests in the Era of Big Data, Artificial Intelligence, and Predictive Analytics

(2018) Patricia Balthazar et al.   Journal of the American College of Radiology

Unintended Consequences of Machine Learning in Medicine

(2017) Federico Cabitza et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Deep Learning: A Primer for Radiologists

(2017) Gabriel Chartrand et al.   RADIOGRAPHICS

Machine Learning for Medical Imaging

(2017) Bradley J. Erickson et al.   RADIOGRAPHICS

Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks

(2017) Paras Lakhani et al.   RADIOLOGY

Big Data and Machine Learning—Strategies for Driving This Bus: A Summary of the 2016 Intersociety Summer Conference

(2017) Jonathan B. Kruskal et al.   Journal of the American College of Radiology

Automated detection of pulmonary nodules in PET/CT images: Ensemble false-positive reduction using a convolutional neural network technique

(2016) Atsushi Teramoto et al.   MEDICAL PHYSICS

Deep learning

(2015) Yann LeCun et al.   NATURE