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4 Tips to Tackle the RSNA 2019 AI Showcase

4 Tips to Tackle the RSNA 2019 AI Showcase

Artificial intelligence (AI) will increase its footprint at the 105th Radiological Society of North America (RSNA) Scientific Assembly and Annual Meeting, featuring over 140 vendors in the AI Showcase.

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Understanding the Turnaround Time Effects of an AI-based Prioritization System for Intracranial Hemorrhage

Understanding the Turnaround Time Effects of an AI-based Prioritization System for Intracranial Hemorrhage

Intracranial hemorrhage (ICH) is a type of bleeding that happens inside the skull. Every year, 67,000 patients in the US suffer from ICH. Although ICH affects a small percentage of the population, it is a very serious condition—the 1-month mortality rate is 35% to 52% with nearly half of the resulting mortality occurring in the first 24 hours of onset [1].

Selected Publications

NEW Learn to be Uncertain: Leveraging Uncertain Labels in Chest X-rays with Bayesian Neural Networks

Yang HY, Yang J, Pan Y, Cao K, Song Q, et al.,
Uncertainty and Robustness in Deep Visual Learning Workshop, IEEE Conference on Computer Vision and Pattern Recognition, June, 2019.

NEW Precise Diagnosis of Intracranial Hemorrhage and Subtypes Using a Three-dimensional Joint Convolutional and Recurrent Neural Network

Ye H*, Gao F* (*Equal contribution), Yin Y, Guo D, Zhao P, et al.,
European Radiology, March, 2019.

NEW DeepCenterline: a Multi-task Fully Convolutional Network for Centerline Extraction

Guo Z, Bai J, Lu Y, Wang X, Cao K, et al.,
International conference on Information Processing in Medical Imaging (IPMI), 2019.