AIMC Topic: Deep Learning

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Deep learning gets scope time.

Nature methods Dec 1, 2019
Microscopy Humans Deep Learning
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ImJoy: an open-source computational platform for the deep learning era.

Nature methods Dec 1, 2019
Data Analysis Humans Deep Learning
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[Radiomics-AI-based image analysis].

Der Pathologe Dec 1, 2019
Radiomics deals with the statistical analysis of radiologic image data. In this article, radiomics is introduced and some of its applications are presented. In particular, an example is used to demonstrate that pathology and radiology can work togeth...
Radiographic Image Interpretation, Computer-Assisted Artificial Intelligence Technology, Radiologic Deep Learning Humans Radiography Radiology
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Editorial: Are computers going to take over: implications of machine learning and computational psychiatry for trainees and practising clinicians.

Journal of child psychology and psychiatry, and allied disciplines Dec 1, 2019
Are computers going to take over? In some ways they already have, and they are bound to take over more. As clinicians and researchers, what do we need to do in order to handle, trust, and evaluate intelligent machines?
Humans Computational Biology Psychiatry Deep Learning
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Deep neural networks ensemble for detecting medication mentions in tweets.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: Twitter posts are now recognized as an important source of patient-generated data, providing unique insights into population health. A fundamental step toward incorporating Twitter data in pharmacoepidemiologic research is to automatically...
Natural Language Processing Humans Neural Networks, Computer Pharmaceutical Preparations Deep Learning Pharmacovigilance Social Media
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Traditional Chinese medicine clinical records classification with BERT and domain specific corpora.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
Traditional Chinese Medicine (TCM) has been developed for several thousand years and plays a significant role in health care for Chinese people. This paper studies the problem of classifying TCM clinical records into 5 main disease categories in TCM....
Deep Learning Medicine, Chinese Traditional Benchmarking Datasets as Topic Natural Language Processing Medical Records
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Extracting entities with attributes in clinical text via joint deep learning.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: Extracting clinical entities and their attributes is a fundamental task of natural language processing (NLP) in the medical domain. This task is typically recognized as 2 sequential subtasks in a pipeline, clinical entity or attribute reco...
Data Mining Datasets as Topic Deep Learning Humans Electronic Health Records Natural Language Processing
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Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus Photographs.

JAMA ophthalmology Dec 1, 2019
IMPORTANCE: A deep learning system (DLS) that could automatically detect glaucomatous optic neuropathy (GON) with high sensitivity and specificity could expedite screening for GON.
Photography Glaucoma, Open-Angle False Positive Reactions Diagnostic Techniques, Ophthalmological ROC Curve Predictive Value of Tests Fundus Oculi Optic Nerve Diseases Area Under Curve Male Deep Learning Sensitivity and Specificity Cross-Sectional Studies Databases, Factual Humans Female
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Finding Glaucoma in Color Fundus Photographs Using Deep Learning.

JAMA ophthalmology Dec 1, 2019
Humans Optic Nerve Diseases Diagnostic Techniques, Ophthalmological Photography Glaucoma Deep Learning
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Evaluation of a Deep Learning System For Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs.

Journal of glaucoma Dec 1, 2019
PRECIS: Pegasus outperformed 5 of the 6 ophthalmologists in terms of diagnostic performance, and there was no statistically significant difference between the deep learning system and the "best case" consensus between the ophthalmologists. The agreem...
Area Under Curve Observer Variation Sensitivity and Specificity Intraocular Pressure Middle Aged Optic Disk Diagnosis, Computer-Assisted Female Photography Male Deep Learning Humans Optic Nerve Diseases Aged Ophthalmologists Retrospective Studies ROC Curve Diagnostic Techniques, Ophthalmological Adult Glaucoma, Open-Angle
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