A guide to deep learning in healthcare

Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists

(2018) H A Haenssle et al.   ANNALS OF ONCOLOGY

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

(2018) Daniel S. Kermany et al.   CELL

Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU

(2018) Qingqing Mao et al.   BMJ Open

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

(2018) Ryan Poplin et al.   Nature Biomedical Engineering

Clinically applicable deep learning for diagnosis and referral in retinal disease

(2018) Jeffrey De Fauw et al.   NATURE MEDICINE

Training and Validating a Deep Convolutional Neural Network for Computer-Aided Detection and Classification of Abnormalities on Frontal Chest Radiographs

(2017) Mark Cicero et al.   INVESTIGATIVE RADIOLOGY

Large scale deep learning for computer aided detection of mammographic lesions

(2017) Thijs Kooi et al.   MEDICAL IMAGE ANALYSIS

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunophenotype Relationships and Predictors of Response to Checkpoint Blockade

(2017) Pornpimol Charoentong et al.   Cell Reports

Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis

(2017) Benjamin Shickel et al.   IEEE Journal of Biomedical and Health Informatics

Gene expression inference with deep learning

(2016) Yifei Chen et al.   BIOINFORMATICS

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Machine Learning in Genomic Medicine: A Review of Computational Problems and Data Sets

(2016) Michael K. K. Leung et al.   PROCEEDINGS OF THE IEEE

Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans

(2016) Jie-Zhi Cheng et al.   Scientific Reports

MIMIC-III, a freely accessible critical care database

(2016) Alistair E.W. Johnson et al.   Scientific Data

Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records

(2016) Riccardo Miotto et al.   Scientific Reports

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Deep learning

(2015) Yann LeCun et al.   NATURE

Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

(2015) Babak Alipanahi et al.   NATURE BIOTECHNOLOGY

Efficient Bayesian mixed-model analysis increases association power in large cohorts

(2015) Po-Ru Loh et al.   NATURE GENETICS

Advances in natural language processing

(2015) J. Hirschberg et al.   SCIENCE

Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions

(2015) Yohannes Kassahun et al.   International Journal of Computer Assisted Radiology and Surgery

DANN: a deep learning approach for annotating the pathogenicity of genetic variants

(2014) Daniel Quang et al.   BIOINFORMATICS

A general framework for estimating the relative pathogenicity of human genetic variants

(2014) Martin Kircher et al.   NATURE GENETICS

The human splicing code reveals new insights into the genetic determinants of disease

(2014) H. Y. Xiong et al.   SCIENCE

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

Non-invasive prenatal measurement of the fetal genome

(2012) H. Christina Fan et al.   NATURE

Universal noninvasive detection of solid organ transplant rejection

(2011) T. M. Snyder et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Length of Stay Predictions

(2010) Vincent Liu et al.   MEDICAL CARE

Learning to search: Functional gradient techniques for imitation learning

(2009) Nathan D. Ratliff et al.   AUTONOMOUS ROBOTS

Learning a Prior on Regulatory Potential from eQTL Data

(2009) Su-In Lee et al.   PLoS Genetics

A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks

(2008) Hermann Mayer et al.   ADVANCED ROBOTICS