AI for medical imaging goes deep

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

(2018) Daniel S. Kermany et al.   CELL

Clinical Applicability of Deep Learning System in Detecting Tuberculosis with Chest Radiography

(2018) Daniel S. W. Ting et al.   RADIOLOGY

Artificial Intelligence and Radiology: Collaboration Is Key

(2018) Paul H. Yi et al.   Journal of the American College of Radiology

Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning

(2018) Ryan Poplin et al.   Nature Biomedical Engineering

Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes

(2017) Daniel Shu Wei Ting et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Proliferative diabetic retinopathy: laser or eye injection?

(2017) Daniel Shu Wei Ting et al.   LANCET

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

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

(2017) Paras Lakhani et al.   RADIOLOGY

Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks

(2017) Philippe M. Burlina et al.   JAMA Ophthalmology

Deep learning

(2015) Yann LeCun et al.   NATURE

Should We Add Screening of Age-Related Macular Degeneration to Current Screening Programs for Diabetic Retinopathy?

(2015) Emily Y. Chew et al.   OPHTHALMOLOGY