In April 2019, the U.S. Food and Drug Administration published a discussion paper on a Proposed Regulatory Framework for Modifications to Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD).
Human-centered design is the process of involving users in the design process to develop solutions that increase user satisfaction.
In 2016, AI vendors made their debut at the Radiological Society of North America’s 103rd Scientific Assembly and Annual Meeting.
As a member of NVIDIA’s Inception program, CuraCloud has had early access to NVIDIA’s AI development tools, including NVIDIA Clara, the NVIDIA EGX Intelligent Edge Computing Platform, and NVIDIA AGX for embedded systems.
Connect your needs to machine learning and bioinformatics expertise in booth #11119 at the 2019 Radiological Society of North America Annual Meeting.
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.
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.