Artificial Intelligence and Big Data in Healthcare

More groundbreaking publications nominated by our editors

Enjoy free access until October 31st 2018. Open access articles are freely available online on a permanent basis.


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


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An integrative network-based approach to identify novel disease genes and pathways: a case study in the context of inflammatory bowel disease


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Artificial intelligence in radiology


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Automated analysis of free speech predicts psychosis onset in high-risk youths


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Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence


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Clinically applicable deep learning for diagnosis and referral in retinal disease


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Computer-aided detection in chest radiography based on artificial intelligence: a survey


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Functional relevance for central cornea thickness-associated genetic variants by using integrative analyses


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Genetic variants and pathways implicated in a pediatric inflammatory bowel disease cohort


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H7N9 virulent mutants detected in chickens in China pose an increased threat to humans


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Healthcare and Big Data Management 
(read the first chapter from the book for free)


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Identification of disease-distinct complex biomarker patterns by means of unsupervised machine-learning using an interactive R toolbox (Umatrix)


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Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype


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Integrative omics for health and disease


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Investigating beta-adrenergic-induced cardiac hypertrophy through computational approach: classical and non-classical pathways


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Laboratory and home comparison of wrist-activity monitors and polysomnography in middle-aged adults


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Machine-learning approach identifies a pattern of gene expression in peripheral blood that can accurately detect ischaemic stroke


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Metabolomics enables precision medicine: “A White Paper, Community Perspective”


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Network-based machine learning and graph theory algorithms for precision oncology


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Patient healthcare trajectory. An essential monitoring tool: a systematic review


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Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care


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

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Single-cell multi-omics sequencing of human early embryos


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The activity and discussion points of #Circumcision through Twitter; a microblogging platform


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The newest cathinone derivatives as designer drugs: an analytical and toxicological review


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The State of Data in Healthcare: Path Towards Standardization


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Tumor-infiltrating B cells: their role and application in anti-tumor immunity in lung cancer


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