Human-centered design is the process of involving users in the design process to develop solutions that increase user satisfaction.
Last month, I attended the 2019 Canopy Partners Imaging Summit in Raleigh, NC. The theme of this year’s event was Tipping Point: How to Maintain Your Competitive Edge in Radiology.
Healthcare organizations have unprecedented opportunities to use their own data to customize solutions that optimize efficiency and improve patient care.
Developing a clinically valuable AI-powered solution requires the synergy of healthcare clinicians, AI experts, and valuable clinical data to gain improved insight to diagnostics and better patient outcomes.
The European Society of Cardiology (ESC) published new guidelines on the diagnosis and management of chronic coronary syndromes.
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.
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.