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 .
This summer is an exciting time to be working in medical imaging AI. I have been thinking about three new developments that may have profound implications for patients, care delivery organizations, and medical AI developers in the months ahead.
CuraCloud will be exhibiting at Society for Imaging Informatics in Medicine (SIIM) Annual Meeting from June 26 to June 28 at Gaylord Rockies Resort and Convention Center in Aurora, CO.
CuraCloud’s most recent research paper entitled “Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network” has been accepted for publication in European Radiology.
CuraCloud’s most recent research paper entitled “DeepCenterline: a Multi-task Fully Convolutional Network for Centerline Extraction” has been accepted for presentation at Information Processing in Medical Imaging (IPMI) 2019 in Hong Kong.
The problem addressed in this white paper is the challenge of applying formal systems development processes to collaborative development of Artificial Intelligence (AI) in healthcare.
Chest radiography or Chest X-ray (CXR), is one of the most powerful and commonly used imaging modalities in clinical settings.
Christian Severt, CuraCloud’s IT leader, is a finalist at the “Seattle Health Innovator of the Year” award for his design of the HIPAA compliant Clean Room project for CuraCloud.
CuraCloud attracted attention through its investigational use devices CuraRad-Lung, CuraRad-ICH, CuraRad-CXR, a newly launched CuraRad-Annotation Tool, and AI development service solutions.
CuraCloud’s AI Development Services supply medical imaging AI expertise and technical capabilities to healthcare organizations to create their own quality and productivity innovations.
CuraCloud invites attendees of the Radiological Society of North America (RSNA) 2018 Conference to visit the CuraCloud booth to learn how to use AI to enhance medical imaging workflows.
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.
Guo Z, Bai J, Lu Y, Wang X, Cao K, et al.,
International conference on Information Processing in Medical Imaging (IPMI), 2019.