Journal of Artificial Intelligence for Medical Sciences

Volume 2, Issue 1-2, June 2021, Pages 97 - 102

RadCloud—An Artificial Intelligence-Based Research Platform Integrating Machine Learning-Based Radiomics, Deep Learning, and Data Management

Authors
Geng Yayuan, Zhang Fengyan, Zhang Ran, Chen Ying, Xia Yuwei, Wang Fang, Yang Xunhong, Zuo Panli, Chai Xiangfei*
Scientific Research Department, HY Medical Technology, B-2 Building, Dongsheng Science Park, Haidian District, Beijing, 100192, China
*Corresponding author. Email: chaixiangfei@huiyihuiying.com
Corresponding Author
Chai Xiangfei
Received 20 April 2021, Accepted 10 June 2021, Available Online 21 June 2021.
DOI
https://doi.org/10.2991/jaims.d.210617.001How to use a DOI?
Keywords
Radiomics, Machine learning, Neural network, Data management
Abstract

Radiomics and artificial intelligence (AI) are two rapidly advancing techniques in precision medicine for the purpose of disease diagnosis, prognosis, surveillance, and personalized therapy. This paper introduces RadCloud, an artificial intelligent (AI) research platform that supports clinical studies. It integrates machine learning (ML)-based radiomics, deep learning (DL), and data management to simplify AI-based research, supporting rapid introduction of AI algorithms across various medical imaging specialties to meet the ever-increasing demands of future clinical research. This platform has been successfully applied for tumor detection, biomarker identification, prognosis, and treatment effect assessment across various image modalities (MR, PET/CT, CTA, US, MG, etc.) and a variety of organs (breast, lung, kidney, liver, rectum, thyroid, bone, etc). The proposed platform has shown great potential in supporting clinical studies for precision medicine.

Copyright
© 2021 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Artificial Intelligence for Medical Sciences
Volume-Issue
2 - 1-2
Pages
97 - 102
Publication Date
2021/06/21
ISSN (Online)
2666-1470
DOI
https://doi.org/10.2991/jaims.d.210617.001How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Geng Yayuan
AU  - Zhang Fengyan
AU  - Zhang Ran
AU  - Chen Ying
AU  - Xia Yuwei
AU  - Wang Fang
AU  - Yang Xunhong
AU  - Zuo Panli
AU  - Chai Xiangfei
PY  - 2021
DA  - 2021/06/21
TI  - RadCloud—An Artificial Intelligence-Based Research Platform Integrating Machine Learning-Based Radiomics, Deep Learning, and Data Management
JO  - Journal of Artificial Intelligence for Medical Sciences
SP  - 97
EP  - 102
VL  - 2
IS  - 1-2
SN  - 2666-1470
UR  - https://doi.org/10.2991/jaims.d.210617.001
DO  - https://doi.org/10.2991/jaims.d.210617.001
ID  - Yayuan2021
ER  -