Literature DB >> 31857130

Artificial intelligence in medical imaging.

John C Gore1.   

Abstract

The medical specialty radiology has experienced a number of extremely important and influential technical developments in the past that have affected how medical imaging is deployed. Artificial intelligence (AI) is potentially another such development that will introduce fundamental changes into the practice of radiology. In this commentary the historical evolution of some major changes in radiology are traced as background to how AI may also be embraced into practice. Potential new capabilities provided by AI offer exciting prospects for more efficient and effective use of medical images.
Copyright © 2019 Elsevier Inc. All rights reserved.

Mesh：

Year:  2019        PMID： 31857130     DOI： 10.1016/j.mri.2019.12.006

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN： 0730-725X            Impact factor:   2.546


  13 in total

1.  Craniocerebral Magnetic Resonance Imaging Features of Benign Paroxysmal Positional Vertigo under Artificial Intelligence Algorithm and the Correlation with Cerebrovascular Disease.

Authors:  Hailong Xue; Yanli Jing; Yingge Chen; Cong Xi; Na Bian; Yujuan Li
Journal:  Contrast Media Mol Imaging       Date:  2022-04-26       Impact factor: 3.009

2.  Fetal Cerebral Hemodynamic Changes in Preeclampsia Patients by Ultrasonic Imaging under Intelligent Algorithm.

Authors:  Di Zhu; Ru Ding; Hongxia Ma; Shenglin Jiang; Lijie Li
Journal:  Comput Intell Neurosci       Date:  2022-05-27

3.  Internet-based digital video atlas of sonographic findings for clinical and educational purposes.

Authors:  Daniel Merkel; Christoph Schneider; Michael Ludwig
Journal:  J Ultrason       Date:  2020-03-31

Review 4.  The Recent Progress and Applications of Digital Technologies in Healthcare: A Review.

Authors:  Maksut Senbekov; Timur Saliev; Zhanar Bukeyeva; Aigul Almabayeva; Marina Zhanaliyeva; Nazym Aitenova; Yerzhan Toishibekov; Ildar Fakhradiyev
Journal:  Int J Telemed Appl       Date:  2020-12-03

Review 5.  Artificial intelligence for MRI diagnosis of joints: a scoping review of the current state-of-the-art of deep learning-based approaches.

Authors:  Benjamin Fritz; Jan Fritz
Journal:  Skeletal Radiol       Date:  2021-09-01       Impact factor: 2.199

Review 6.  Applications and challenges of artificial intelligence in diagnostic and interventional radiology.

Authors:  Joseph Waller; Aisling O'Connor; Eleeza Rafaat; Ahmad Amireh; John Dempsey; Clarissa Martin; Muhammad Umair
Journal:  Pol J Radiol       Date:  2022-02-25

7.  Dark-Lumen Magnetic Resonance Image Based on Artificial Intelligence Algorithm in Differential Diagnosis of Colon Cancer.

Authors:  Yujie Fang; Ting Kang; Yang Yang; Yonghong Zi; Xiong Lu
Journal:  Comput Intell Neurosci       Date:  2022-03-27

8.  A deep learning approach with subregion partition in MRI image analysis for metastatic brain tumor.

Authors:  Jiaxin Shi; Zilong Zhao; Tao Jiang; Hua Ai; Jiani Liu; Xinpu Chen; Yahong Luo; Huijie Fan; Xiran Jiang
Journal:  Front Neuroinform       Date:  2022-08-03       Impact factor: 3.739

9.  Development and validation of the interpretability analysis system based on deep learning model for smart image follow-up of nail pigmentation.

Authors:  Yanqing Chen; Haofan Liu; Zhaoying Liu; Yang Xie; Yingxue Yao; Xiaofen Xing; Han Ma
Journal:  Ann Transl Med       Date:  2022-05

10.  Prediction of Lung Infection during Palliative Chemotherapy of Lung Cancer Based on Artificial Neural Network.

Authors:  Wei Guo; Guoyun Gao; Jun Dai; Qiming Sun
Journal:  Comput Math Methods Med       Date:  2022-01-10       Impact factor: 2.238
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