Key challenges for delivering clinical impact with artificial intelligence

Automatically Charting Symptoms From Patient-Physician Conversations Using Machine Learning

(2019) Alvin Rajkomar et al.   JAMA Internal Medicine

Adversarial attacks on medical machine learning

(2019) Samuel G. Finlayson et al.   SCIENCE

Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence

(2019) Huiying Liang et al.   NATURE MEDICINE

Translating cancer genomics into precision medicine with artificial intelligence: applications, challenges and future perspectives

(2019) Jia Xu et al.   HUMAN GENETICS

Randomised controlled trial of WISENSE, a real-time quality improving system for monitoring blind spots during esophagogastroduodenoscopy

(2019) Lianlian Wu et al.   GUT

Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study

(2019) Pu Wang et al.   GUT

Reply to the letter to the editor ‘Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists’ by H. A. Haenssle et al.

(2019) H A Haenssle et al.   ANNALS OF ONCOLOGY

Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task

(2019) Titus J. Brinker et al.   EUROPEAN JOURNAL OF CANCER

Reporting of artificial intelligence prediction models

(2019) Gary S Collins et al.   LANCET

Development and Validation of a Deep-Learning Model to Screen for Hyperkalemia From the Electrocardiogram

(2019) Conner D. Galloway et al.   JAMA Cardiology

A clinically applicable approach to continuous prediction of future acute kidney injury

(2019) Nenad Tomašev et al.   NATURE

An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction

(2019) Zachi I Attia et al.   LANCET

Association Between Surgical Skin Markings in Dermoscopic Images and Diagnostic Performance of a Deep Learning Convolutional Neural Network for Melanoma Recognition

(2019) Julia K. Winkler et al.   JAMA Dermatology

Making Machine Learning Models Clinically Useful

(2019) Nigam H. Shah et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening

(2019) Nan Wu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm

(2018) Seung Seog Han et al.   JOURNAL OF INVESTIGATIVE DERMATOLOGY

Deep Learning with Convolutional Neural Network for Differentiation of Liver Masses at Dynamic Contrast-enhanced CT: A Preliminary Study

(2018) Koichiro Yasaka et al.   RADIOLOGY

Association of Retinal Neurodegeneration on Optical Coherence Tomography With Dementia

(2018) Unal Mutlu et al.   JAMA Neurology

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

(2018) Ryan Poplin et al.   Nature Biomedical Engineering

TEMPORARY REMOVAL: Article Coming Soon

(2018)   AMERICAN HEART JOURNAL

Real-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy

(2018) Yuichi Mori et al.   ANNALS OF INTERNAL MEDICINE

Automated deep-neural-network surveillance of cranial images for acute neurologic events

(2018) Joseph J. Titano et al.   NATURE MEDICINE

Clinically applicable deep learning for diagnosis and referral in retinal disease

(2018) Jeffrey De Fauw et al.   NATURE MEDICINE

Deep learning in chest radiography: Detection of findings and presence of change

(2018) Ramandeep Singh et al.   PLoS One

Development and Validation of Deep Learning–based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs

(2018) Ju Gang Nam et al.   RADIOLOGY

Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopy

(2018) Pu Wang et al.   Nature Biomedical Engineering

Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer

(2018) David F. Steiner et al.   AMERICAN JOURNAL OF SURGICAL PATHOLOGY

Artificial Intelligence–Based Breast Cancer Nodal Metastasis Detection

(2018) Yun Liu et al.   ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE

Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study

(2018) Sasank Chilamkurthy et al.   LANCET

A guide to deep learning in healthcare

(2018) Andre Esteva et al.   NATURE MEDICINE

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

(2018) Awni Y. Hannun et al.   NATURE MEDICINE

High-performance medicine: the convergence of human and artificial intelligence

(2018) Eric J. Topol   NATURE MEDICINE

Identifying facial phenotypes of genetic disorders using deep learning

(2018) Yaron Gurovich et al.   NATURE MEDICINE

Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy

(2018) Rory Sayres et al.   OPHTHALMOLOGY

Deep neural network improves fracture detection by clinicians

(2018) Robert Lindsey et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study

(2018) John R. Zech et al.   PLOS MEDICINE

A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain

(2018) Yiming Ding et al.   RADIOLOGY

Computerised interpretation of fetal heart rate during labour (INFANT): a randomised controlled trial

(2017) Peter Brocklehurst et al.   LANCET

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

An artificial intelligence platform for the multihospital collaborative management of congenital cataracts

(2017) Erping Long et al.   Nature Biomedical Engineering

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

Piloting electronic medical record-based early detection of inpatient deterioration in community hospitals

(2016) Gabriel J. Escobar et al.   Journal of Hospital Medicine

SMART on FHIR: a standards-based, interoperable apps platform for electronic health records

(2016) Joshua C Mandel et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Association Between Race/Ethnicity and Survival of Melanoma Patients in the United States Over 3 Decades

(2016) Melissa Ward-Peterson et al.   MEDICINE

There is a blind spot in AI research

(2016) Kate Crawford et al.   NATURE

Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement

(2015) G. S. Collins et al.   CIRCULATION

Measurement Is Essential for Improving Diagnosis and Reducing Diagnostic Error

(2015) Elizabeth A. McGlynn et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

A new framework to enhance the interpretation of external validation studies of clinical prediction models

(2015) Thomas P.A. Debray et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Diagnostic Accuracy of Digital Screening Mammography With and Without Computer-Aided Detection

(2015) Constance D. Lehman et al.   JAMA Internal Medicine

The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets

(2015) Takaya Saito et al.   PLoS One

From Triple to Quadruple Aim: Care of the Patient Requires Care of the Provider

(2014) T. Bodenheimer et al.   ANNALS OF FAMILY MEDICINE

Caveats for the Use of Operational Electronic Health Record Data in Comparative Effectiveness Research

(2013) William R. Hersh et al.   MEDICAL CARE

Computed Fractional Flow Reserve (FFTCT) Derived from Coronary CT Angiography

(2013) Christopher K. Zarins et al.   Journal of Cardiovascular Translational Research

Drug—drug interactions that should be non-interruptive in order to reduce alert fatigue in electronic health records

(2012) Shobha Phansalkar et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with Survival

(2011) A. H. Beck et al.   Science Translational Medicine

Extensions to decision curve analysis, a novel method for evaluating diagnostic tests, prediction models and molecular markers

(2008) Andrew J Vickers et al.   BMC Medical Informatics and Decision Making

The Triple Aim: Care, Health, And Cost

(2008) Donald M. Berwick et al.   HEALTH AFFAIRS