An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets

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

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Automated Critical Test Findings Identification and Online Notification System Using Artificial Intelligence in Imaging

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

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

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Can we open the black box of AI?

(2016) Davide Castelvecchi   NATURE

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Deep learning

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The Parable of Google Flu: Traps in Big Data Analysis

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A few useful things to know about machine learning

(2012) Pedro Domingos   COMMUNICATIONS OF THE ACM

CT stroke window settings: an unfortunate misleading misnomer?

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Inter- and Intraobserver Agreement in CT Characterization of Nonaneurysmal Perimesencephalic Subarachnoid Hemorrhage

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