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

Keywords

TriageConvolutional neural networkMedicineWorkflowRadiologyStroke (engine)Artificial intelligenceComputer scienceMedical emergency

Affiliated Institutions

Related Publications

Near Real-Time Intraoperative Brain Tumor Diagnosis Using Stimulated Raman Histology and Deep Neural Networks

Todd Hollon , Balaji Pandian , Siri Sahib S. Khalsa +12 more

INTRODUCTION: Intraoperative diagnosis is essential for providing safe and effective care during cancer surgery. The existing workflow for intraoperative diagnosis based on H&E ...

2019 Neurosurgery 78 citations

Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks

Ioannis D. Apostolopoulos , Tzani A. Mpesiana

In this study, a dataset of X-ray images from patients with common bacterial pneumonia, confirmed Covid-19 disease, and normal incidents, was utilized for the automatic detectio...

2020 Physical and Engineering Sciences in ... 2350 citations

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

Nima Tajbakhsh , J. Shin , Suryakanth Gurudu +4 more

Training a deep convolutional neural network (CNN) from scratch is difficult because it requires a large amount of labeled training data and a great deal of expertise to ensure ...

2016 IEEE Transactions on Medical Imaging 2961 citations

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

Paras Lakhani , Baskaran Sundaram

Purpose To evaluate the efficacy of deep convolutional neural networks (DCNNs) for detecting tuberculosis (TB) on chest radiographs. Materials and Methods Four deidentified HIPA...

2017 Radiology 1719 citations

Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

Pranav Rajpurkar , Jeremy Irvin , Robyn L. Ball +18 more

In this study, we developed and validated a deep learning algorithm that classified clinically important abnormalities in chest radiographs at a performance level comparable to ...

2018 PLoS Medicine 1263 citations

Publication Info

Year: 2018
Type: article
Volume: 24
Issue: 9
Pages: 1337-1341
Citations: 440
Access: Closed

External Links

View on DOI.org

Social Impact

Altmetric

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

PlumX Metrics

Social media, news, blog, policy document mentions

Citation Metrics

440

OpenAlex

Cite This

APA Style

                            
                                
                                    J. Titano, 
                                
                                    Marcus A. Badgeley, 
                                
                                    Javin Schefflein
                                
                                et al.
                            
                            (2018). 
                            Automated deep-neural-network surveillance of cranial images for acute neurologic events. 
                            Nature Medicine
                            , 24
                            (9)
                            , 1337-1341.
                            https://doi.org/10.1038/s41591-018-0147-y
                        

Identifiers

DOI: 10.1038/s41591-018-0147-y