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3 Trends Driving Medical AI Democratization

3 Trends Driving Medical AI Democratization

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.

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CuraCloud at MICCAI 2018

CuraCloud at MICCAI 2018

We are delighted that some of the CuraCloud team’s scientific work will be featured at the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) from September 16th to 20th 2018 in Granada, Spain.

How is AI improving healthcare?

How is AI improving healthcare?

Deep learning, data mining, machine learning and natural language processing are all trending words in artificial intelligence (AI).

Highlights from RSNA17

Highlights from RSNA17

CuraCloud exhibited at Radiological Society of North America (RSNA) from 11/26-30 and showcased some of their AI capabilities to enhance medical imaging workflows.

Visit CuraCloud at RSNA 2017

Visit CuraCloud at RSNA 2017

CuraCloud invites attendees of the Radiological Society of North America (RSNA) 2017 Conference to visit the CuraCloud booth to learn how to use AI to enhance medical imaging workflows.

CuraCloud in Japan

CuraCloud in Japan

The Japanese healthcare system was designed for universal access and accessibility. Japan has made significant investments in radiological imaging and has the world’s highest per capita installations of Computed Tomography (CT) imaging machines.

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.