Artificial intelligence for precision education in radiology

Convolutional Neural Network for Automated FLAIR Lesion Segmentation on Clinical Brain MR Imaging

(2019) M.T. Duong et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild vascular pathology

(2018) Muhammad Febrian Rachmadi et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

The future of radiology augmented with Artificial Intelligence: A strategy for success

(2018) Charlene Liew   EUROPEAN JOURNAL OF RADIOLOGY

Current Applications and Future Impact of Machine Learning in Radiology

(2018) Garry Choy et al.   RADIOLOGY

Education for the future

(2018) Barbara Pietrzak et al.   SCIENCE

Machine Learning in Radiology: Applications Beyond Image Interpretation

(2018) Paras Lakhani et al.   Journal of the American College of Radiology

Deep Learning in Radiology: Does One Size Fit All?

(2018) Bradley J. Erickson et al.   Journal of the American College of Radiology

Strengthening the Radiology Learning Environment

(2018) Priscilla J. Slanetz et al.   Journal of the American College of Radiology

The Role of Artificial Intelligence in Diagnostic Radiology: A Survey at a Single Radiology Residency Training Program

(2018) Fernando Collado-Mesa et al.   Journal of the American College of Radiology

Resident Case Volume Correlates with Clinical Performance: Finding the Sweet Spot

(2018) Vikas Agarwal et al.   ACADEMIC RADIOLOGY

It is About "Time": Academic Neuroradiologist Time Distribution for Interpreting Brain MRIs

(2018) Altaib Al Yassin et al.   ACADEMIC RADIOLOGY

Clinical Decision Support in the Era of Artificial Intelligence

(2018) Edward H. Shortliffe et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

How user intelligence is improving PubMed

(2018) Nicolas Fiorini et al.   NATURE BIOTECHNOLOGY

The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care

(2018) Matthieu Komorowski et al.   NATURE MEDICINE

Learning style Identifier: Improving the precision of learning style identification through computational intelligence algorithms

(2017) Jason Bernard et al.   EXPERT SYSTEMS WITH APPLICATIONS

Neuroscience-Inspired Artificial Intelligence

(2017) Demis Hassabis et al.   NEURON

Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications

(2017) Sandra Vieira et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

Machine Learning for Medical Imaging

(2017) Bradley J. Erickson et al.   RADIOGRAPHICS

The Bright, Artificial Intelligence-Augmented Future of Neuroimaging Reading

(2017) Nicolin Hainc et al.   Frontiers in Neurology

Medical Education Must Move From the Information Age to the Age of Artificial Intelligence

(2017) Steven A. Wartman et al.   ACADEMIC MEDICINE

AI Grand Challenges for Education

(2017) Beverly Park Woolf et al.   AI MAGAZINE

Why Isn't There More High-fidelity Simulation Training in Diagnostic Radiology? Results of a Survey of Academic Radiologists

(2016) Tessa S. Cook et al.   ACADEMIC RADIOLOGY

Radiology Resident' Satisfaction With Their Training and Education in the United States: Effect of Program Directors, Teaching Faculty, and Other Factors on Program Success

(2016) Christopher Z. Lam et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Adapting to Artificial Intelligence

(2016) Saurabh Jha et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Toward Data-Driven Radiology Education—Early Experience Building Multi-Institutional Academic Trainee Interpretation Log Database (MATILDA)

(2016) Po-Hao Chen et al.   JOURNAL OF DIGITAL IMAGING

Natural Language Processing in Radiology: A Systematic Review

(2016) Ewoud Pons et al.   RADIOLOGY

Problem-based learning for radiological technologists: a comparison of student attitudes toward plain radiography

(2016) Takayoshi Terashita et al.   BMC Medical Education

“Flipping” the Introductory Clerkship in Radiology

(2015) Lily M. Belfi et al.   ACADEMIC RADIOLOGY

Radiology Teaching Files: an Assessment of Their Role and Desired Features Based on a National Survey

(2015) Brittany Dashevsky et al.   JOURNAL OF DIGITAL IMAGING

A New Initiative on Precision Medicine

(2015) Francis S. Collins et al.   NEW ENGLAND JOURNAL OF MEDICINE

Metrics for Radiologists in the Era of Value-based Health Care Delivery

(2015) Ammar Sarwar et al.   RADIOGRAPHICS

Using computer-extracted image features for modeling of error-making patterns in detection of mammographic masses among radiology residents

(2014) Jing Zhang et al.   MEDICAL PHYSICS

Using Artificial Intelligence to Improve Hospital Inpatient Care

(2013) Daniel B. Neill   IEEE INTELLIGENT SYSTEMS

Electronic Health Records and Clinical Decision Support Systems

(2011) Max J. Romano et al.   ARCHIVES OF INTERNAL MEDICINE

Use of machine learning techniques for educational proposes: a decision support system for forecasting students’ grades

(2011) S. B. Kotsiantis   ARTIFICIAL INTELLIGENCE REVIEW

Towards case-based medical learning in radiological decision making using content-based image retrieval

(2011) Petra Welter et al.   BMC Medical Informatics and Decision Making

Cost Analysis and Feasibility of High-fidelity Simulation Based Radiology Contrast Reaction Curriculum

(2010) Jonelle M. Petscavage et al.   ACADEMIC RADIOLOGY

Informatics in Radiology: RADTF: A Semantic Search–enabled, Natural Language Processor–generated Radiology Teaching File

(2010) Bao H. Do et al.   RADIOGRAPHICS

Trends in Radiologic Training: National and International Implications

(2010) Theresa C. McLoud   RADIOLOGY

Computer-Assisted Segmentation of White Matter Lesions in 3D MR Images Using Support Vector Machine

(2008) Zhiqiang Lao et al.   ACADEMIC RADIOLOGY