SPR Highlights EP#08 [Gene]: Uso prático da IA em Neurorradiologia: onde estamos? - a podcast by SPR

Esta edição do GENE Highlights apresenta uma conversa com o Dr. Felipe Kitamura sobre um tema bastante solicitado - o papel da Inteligência Artificial na Radiologia, especialmente dentro da neurorradiologia.


Artigos relacionados:

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

https://pubs.rsna.org/doi/10.1148/radiol.2017162664?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%3dpubmed

Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas

http://www.ajnr.org/content/39/7/1201.long

Residual Deep Convolutional Neural Network Predicts MGMT Methylation Status

https://link.springer.com/article/10.1007%2Fs10278-017-0009-z

Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence

https://link.springer.com/article/10.1007%2Fs10278-017-9984-3

3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients

https://www.ncbi.nlm.nih.gov/pubmed/28149967

Deep learning enables reduced gadolinium dose for contrast-enhanced brain MRI

https://onlinelibrary.wiley.com/doi/full/10.1002/jmri.25970

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