Literature DB >> 29252898

Reinventing Radiology: Big Data and the Future of Medical Imaging.

Michael A Morris1,2,3, Babak Saboury1,2, Brian Burkett4, Jackson Gao5, Eliot L Siegel1,2.   

Abstract

PURPOSE: Today, data surrounding most of our lives are collected and stored. Data scientists are beginning to explore applications that could harness this information and make sense of it.
MATERIALS AND METHODS: In this review, the topic of Big Data is explored, and applications in modern health care are considered.
RESULTS: Big Data is a concept that has evolved from the modern trend of "scientism." One of the primary goals of data scientists is to develop ways to discover new knowledge from the vast quantities of increasingly available information.
CONCLUSIONS: Current and future opportunities and challenges with respect to radiology are provided with emphasis on cardiothoracic imaging.

Mesh:

Year:  2018        PMID: 29252898     DOI: 10.1097/RTI.0000000000000311

Source DB:  PubMed          Journal:  J Thorac Imaging        ISSN: 0883-5993            Impact factor:   3.000


  12 in total

Review 1.  Artificial Intelligence in the Management of Intracranial Aneurysms: Current Status and Future Perspectives.

Authors:  Z Shi; B Hu; U J Schoepf; R H Savage; D M Dargis; C W Pan; X L Li; Q Q Ni; G M Lu; L J Zhang
Journal:  AJNR Am J Neuroradiol       Date:  2020-03-12       Impact factor: 3.825

Review 2.  Deep learning aided decision support for pulmonary nodules diagnosing: a review.

Authors:  Yixin Yang; Xiaoyi Feng; Wenhao Chi; Zhengyang Li; Wenzhe Duan; Haiping Liu; Wenhua Liang; Wei Wang; Ping Chen; Jianxing He; Bo Liu
Journal:  J Thorac Dis       Date:  2018-04       Impact factor: 2.895

Review 3.  Evolving the pulmonary nodules diagnosis from classical approaches to deep learning-aided decision support: three decades' development course and future prospect.

Authors:  Bo Liu; Wenhao Chi; Xinran Li; Peng Li; Wenhua Liang; Haiping Liu; Wei Wang; Jianxing He
Journal:  J Cancer Res Clin Oncol       Date:  2019-11-30       Impact factor: 4.553

Review 4.  Machine Learning and Deep Neural Networks in Thoracic and Cardiovascular Imaging.

Authors:  Tara A Retson; Alexandra H Besser; Sean Sall; Daniel Golden; Albert Hsiao
Journal:  J Thorac Imaging       Date:  2019-05       Impact factor: 3.000

Review 5.  Artificial Intelligence in Medical Imaging and its Impact on the Rare Disease Community: Threats, Challenges and Opportunities.

Authors:  Navid Hasani; Faraz Farhadi; Michael A Morris; Moozhan Nikpanah; Arman Rhamim; Yanji Xu; Anne Pariser; Michael T Collins; Ronald M Summers; Elizabeth Jones; Eliot Siegel; Babak Saboury
Journal:  PET Clin       Date:  2022-01

Review 6.  Artificial Intelligence in Coronary CT Angiography: Current Status and Future Prospects.

Authors:  Jiahui Liao; Lanfang Huang; Meizi Qu; Binghui Chen; Guojie Wang
Journal:  Front Cardiovasc Med       Date:  2022-06-17

Review 7.  The Challenges of Diagnostic Imaging in the Era of Big Data.

Authors:  Marco Aiello; Carlo Cavaliere; Antonio D'Albore; Marco Salvatore
Journal:  J Clin Med       Date:  2019-03-06       Impact factor: 4.241

8.  Current status of use of big data and artificial intelligence in RMDs: a systematic literature review informing EULAR recommendations.

Authors:  Joanna Kedra; Timothy Radstake; Aridaman Pandit; Xenofon Baraliakos; Francis Berenbaum; Axel Finckh; Bruno Fautrel; Tanja A Stamm; David Gomez-Cabrero; Christian Pristipino; Remy Choquet; Hervé Servy; Simon Stones; Gerd Burmester; Laure Gossec
Journal:  RMD Open       Date:  2019-07-18

Review 9.  Integrating radiomics into holomics for personalised oncology: from algorithms to bedside.

Authors:  Roberto Gatta; Adrien Depeursinge; Osman Ratib; Olivier Michielin; Antoine Leimgruber
Journal:  Eur Radiol Exp       Date:  2020-02-07

10.  Comparison of Chest Radiograph Interpretations by Artificial Intelligence Algorithm vs Radiology Residents.

Authors:  Joy T Wu; Ken C L Wong; Yaniv Gur; Nadeem Ansari; Alexandros Karargyris; Arjun Sharma; Michael Morris; Babak Saboury; Hassan Ahmad; Orest Boyko; Ali Syed; Ashutosh Jadhav; Hongzhi Wang; Anup Pillai; Satyananda Kashyap; Mehdi Moradi; Tanveer Syeda-Mahmood
Journal:  JAMA Netw Open       Date:  2020-10-01
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