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

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

Seeing More: A Future of Augmented Microscopy

(2018) Devin P. Sullivan et al.   CELL

Learning from Everyday Images Enables Expert-like Diagnosis of Retinal Diseases

(2018) Ladislav Rampasek et al.   CELL

Next-Generation Machine Learning for Biological Networks

(2018) Diogo M. Camacho et al.   CELL

Recovering Gene Interactions from Single-Cell Data Using Data Diffusion

(2018) David van Dijk et al.   CELL

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

(2018) Daniel S. Kermany et al.   CELL

Child Mortality In The US And 19 OECD Comparator Nations: A 50-Year Time-Trend Analysis

(2018) Ashish P. Thakrar et al.   HEALTH AFFAIRS

A Generalizable, Data-Driven Approach to Predict Daily Risk of Clostridium difficile Infection at Two Large Academic Health Centers

(2018) Jeeheh Oh et al.   INFECTION CONTROL AND HOSPITAL EPIDEMIOLOGY

Machine learning for tackling microbiota data and infection complications in immunocompromised patients with cancer

(2018) J. Luis Espinoza   JOURNAL OF INTERNAL MEDICINE

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

Unsupervised Machine Learning to Identify High Likelihood of Dementia in Population-Based Surveys: Development and Validation Study

(2018) Laurent Cleret de Langavant et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Machine learning classifies cancer

(2018) Derek Wong et al.   NATURE

Two artificial synapses are better than one

(2018) Gina C. Adam   NATURE

AI designs organic syntheses

(2018) Derek Lowe   NATURE

DNA methylation-based classification of central nervous system tumours

(2018) David Capper et al.   NATURE

FDA approves stroke-detecting AI software

(2018)   NATURE BIOTECHNOLOGY

Deep learning improves prediction of CRISPR–Cpf1 guide RNA activity

(2018) Hui Kwon Kim et al.   NATURE BIOTECHNOLOGY

Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk

(2018) Jian Zhou et al.   NATURE GENETICS

Predicting the clinical impact of human mutation with deep neural networks

(2018) Laksshman Sundaram et al.   NATURE GENETICS

AI for medical imaging goes deep

(2018) Daniel S. W. Ting et al.   NATURE MEDICINE

High-precision automated reconstruction of neurons with flood-filling networks

(2018) Michał Januszewski et al.   NATURE METHODS

DNA methylation-based biomarkers and the epigenetic clock theory of ageing

(2018) Steve Horvath et al.   NATURE REVIEWS GENETICS

Closed-Loop Insulin Delivery for Glycemic Control in Noncritical Care

(2018) Lia Bally et al.   NEW ENGLAND JOURNAL OF MEDICINE

Personalized survival predictions via Trees of Predictors: An application to cardiac transplantation

(2018) Jinsung Yoon et al.   PLoS One

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

High-Risk Breast Lesions: A Machine Learning Model to Predict Pathologic Upgrade and Reduce Unnecessary Surgical Excision

(2018) Manisha Bahl et al.   RADIOLOGY

Ghost cytometry

(2018) Sadao Ota et al.   SCIENCE

Hyperglycemia drives intestinal barrier dysfunction and risk for enteric infection

(2018) Christoph A. Thaiss et al.   SCIENCE

Machine learning of toxicological big data enables read-across structure activity relationships (RASAR) outperforming animal test reproducibility

(2018) Thomas Luechtefeld et al.   TOXICOLOGICAL SCIENCES

Plasmodium dihydrofolate reductase is a second enzyme target for the antimalarial action of triclosan

(2018) Elizabeth Bilsland et al.   Scientific Reports

Association of Retinal Neurodegeneration on Optical Coherence Tomography With Dementia

(2018) Unal Mutlu et al.   JAMA Neurology

Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks

(2018) James M. Brown et al.   JAMA Ophthalmology

Use of Machine Learning to Determine Deviance in Neuroanatomical Maturity Associated With Future Psychosis in Youths at Clinically High Risk

(2018) Yoonho Chung et al.   JAMA Psychiatry

A Solution-Focused Research Approach to Achieve an Implementable Revolution in Digital Mental Health

(2018) David C. Mohr et al.   JAMA Psychiatry

Automated Performance Metrics and Machine Learning Algorithms to Measure Surgeon Performance and Anticipate Clinical Outcomes in Robotic Surgery

(2018) Andrew J. Hung et al.   JAMA Surgery

Not Just Digital Pathology, Intelligent Digital Pathology

(2018) Balazs Acs et al.   JAMA Oncology

All eyes are on AI

(2018)   Nature Biomedical Engineering

Prediction of off-target activities for the end-to-end design of CRISPR guide RNAs

(2018) Jennifer Listgarten et al.   Nature Biomedical Engineering

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

(2018) Ryan Poplin et al.   Nature Biomedical Engineering

Making Colonoscopy Smarter With Standardized Computer-Aided Diagnosis

(2018) Øyvind Holme et al.   ANNALS OF INTERNAL MEDICINE

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

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

Intelligent Image-Activated Cell Sorting

(2018) Nao Nitta et al.   CELL

AI mimics brain codes for navigation

(2018) Francesco Savelli et al.   NATURE

Vector-based navigation using grid-like representations in artificial agents

(2018) Andrea Banino et al.   NATURE

Image reconstruction by domain-transform manifold learning

(2018) Bo Zhu et al.   NATURE

Glucose-regulated phosphorylation of TET2 by AMPK reveals a pathway linking diabetes to cancer

(2018) Di Wu et al.   NATURE

Deep learning is combined with massive-scale citizen science to improve large-scale image classification

(2018) Devin P Sullivan et al.   NATURE BIOTECHNOLOGY

A universal SNP and small-indel variant caller using deep neural networks

(2018) Ryan Poplin et al.   NATURE BIOTECHNOLOGY

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

Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

(2018) Nicolas Coudray et al.   NATURE MEDICINE

Detecting repeated cancer evolution from multi-region tumor sequencing data

(2018) Giulio Caravagna et al.   NATURE METHODS

Label-free prediction of three-dimensional fluorescence images from transmitted-light microscopy

(2018) Chawin Ounkomol et al.   NATURE METHODS

Deep generative models of genetic variation capture the effects of mutations

(2018) Adam J. Riesselman et al.   NATURE METHODS

DeepLabCut: markerless pose estimation of user-defined body parts with deep learning

(2018) Alexander Mathis et al.   NATURE NEUROSCIENCE

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

Machine learning identifies interacting genetic variants contributing to breast cancer risk: A case study in Finnish cases and controls

(2018) Hamid Behravan et al.   Scientific Reports

Glucotypes reveal new patterns of glucose dysregulation

(2018) Heather Hall et al.   PLOS BIOLOGY

Modeling and prediction of clinical symptom trajectories in Alzheimer’s disease using longitudinal data

(2018) Nikhil Bhagwat et al.   PLoS Computational Biology

Live-cell phenotypic-biomarker microfluidic assay for the risk stratification of cancer patients via machine learning

(2018) Michael S. Manak et al.   Nature Biomedical Engineering

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

(2018) Pu Wang et al.   Nature Biomedical Engineering

Robotic surgery for the eye

(2018) Peter L. Gehlbach   Nature Biomedical Engineering

Explainable machine-learning predictions for the prevention of hypoxaemia during surgery

(2018) Scott M. Lundberg 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

Fully Automated Echocardiogram Interpretation in Clinical Practice

(2018) Jeffrey Zhang et al.   CIRCULATION

Monitoring Jet Engines and the Health of People

(2018) Lionel Tarassenko et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

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

(2018) Sasank Chilamkurthy et al.   LANCET

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

(2018) Matthieu Komorowski et al.   NATURE MEDICINE

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

Facebook language predicts depression in medical records

(2018) Johannes C. Eichstaedt et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation

(2018) Constance D. Lehman et al.   RADIOLOGY

Realizing private and practical pharmacological collaboration

(2018) Brian Hie et al.   SCIENCE

Artificial intelligence in healthcare

(2018) Kun-Hsing Yu et al.   Nature Biomedical Engineering

Deep Learning Algorithms for Detection of Lymph Node Metastases From Breast Cancer

(2017) Jeffrey Alan Golden   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

(2017) Babak Ehteshami Bejnordi et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Predicting age by mining electronic medical records with deep learning characterizes differences between chronological and physiological age

(2017) Zichen Wang et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Digitising the mind

(2017) Paddy M Barrett et al.   LANCET

Socioeconomic status and the 25 × 25 risk factors as determinants of premature mortality: a multicohort study and meta-analysis of 1·7 million men and women

(2017) Silvia Stringhini et al.   LANCET

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

AI-powered drug discovery captures pharma interest

(2017) Eric Smalley   NATURE BIOTECHNOLOGY

Predictable response: Finding optimal drugs and doses using artificial intelligence

(2017) Shraddha Chakradhar   NATURE MEDICINE

Imaging biomarkers and biotypes for depression

(2017) Tor D Wager et al.   NATURE MEDICINE

Automating drug discovery

(2017) Gisbert Schneider   NATURE REVIEWS DRUG DISCOVERY

Identifying incipient dementia individuals using machine learning and amyloid imaging

(2017) Sulantha Mathotaarachchi et al.   NEUROBIOLOGY OF AGING

Neuroscience-Inspired Artificial Intelligence

(2017) Demis Hassabis et al.   NEURON

Using neural networks for reducing the dimensions of single-cell RNA-Seq data

(2017) Chieh Lin et al.   NUCLEIC ACIDS RESEARCH

Enhancing Next‐Generation Sequencing‐Guided Cancer Care Through Cognitive Computing

(2017) Nirali M. Patel et al.   ONCOLOGIST

Evaluating the diagnostic utility of applying a machine learning algorithm to diffusion tensor MRI measures in individuals with major depressive disorder

(2017) David M. Schnyer et al.   PSYCHIATRY RESEARCH-NEUROIMAGING

Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research.

(2017) Joseph C. Franklin et al.   PSYCHOLOGICAL BULLETIN

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

(2017) Paras Lakhani et al.   RADIOLOGY

A neural algorithm for a fundamental computing problem

(2017) Sanjoy Dasgupta et al.   SCIENCE

The efficacy of smartphone-based mental health interventions for depressive symptoms: a meta-analysis of randomized controlled trials

(2017) Joseph Firth et al.   World Psychiatry

Personalized glucose forecasting for type 2 diabetes using data assimilation

(2017) David J. Albers et al.   PLoS Computational Biology

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

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

Instagram photos reveal predictive markers of depression

(2017) Andrew G Reece et al.   EPJ Data Science

Surgical data science for next-generation interventions

(2017) Lena Maier-Hein et al.   Nature Biomedical Engineering

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

(2017) Erping Long et al.   Nature Biomedical Engineering

Creating an automated trigger for sepsis clinical decision support at emergency department triage using machine learning

(2017) Steven Horng et al.   PLoS One

Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent

(2017) Angel Cruz-Roa et al.   Scientific Reports

Taking it Personally: Personalized Utilization of the Human Microbiome in Health and Disease

(2016) Niv Zmora et al.   Cell Host & Microbe

Translating Artificial Intelligence Into Clinical Care

(2016) Andrew L. Beam et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Artificial Intelligence With Deep Learning Technology Looks Into Diabetic Retinopathy Screening

(2016) Tien Yin Wong et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

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

Can we open the black box of AI?

(2016) Davide Castelvecchi   NATURE

Crystal-clear neuronal computing

(2016) C. David Wright   Nature Nanotechnology

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

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

The Truth about “Self-Driving” Cars

(2016) Steven E. Shladover   SCIENTIFIC AMERICAN

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

(2016) Riccardo Miotto et al.   Scientific Reports

Personalized Nutrition by Prediction of Glycemic Responses

(2015) David Zeevi et al.   CELL

Unpatients—why patients should own their medical data

(2015) Leonard J Kish et al.   NATURE BIOTECHNOLOGY

Predicting effects of noncoding variants with deep learning–based sequence model

(2015) Jian Zhou et al.   NATURE METHODS

A targeted real-time early warning score (TREWScore) for septic shock

(2015) Katharine E. Henry et al.   Science Translational 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

Human fall detection on embedded platform using depth maps and wireless accelerometer

(2014) Bogdan Kwolek et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

The burden of depression

(2014)   NATURE

The frequency of diagnostic errors in outpatient care: estimations from three large observational studies involving US adult populations

(2014) Hardeep Singh et al.   BMJ Quality & Safety

Eliminating Waste in US Health Care

(2012) Andrew D. Hackbarth   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Reengineering Aircraft Structural Life Prediction Using a Digital Twin

(2011) Eric J. Tuegel et al.   International Journal of Aerospace Engineering

AUC: a misleading measure of the performance of predictive distribution models

(2007) Jorge M. Lobo et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY