Literature DB >> 29155645

From Images to Actions: Opportunities for Artificial Intelligence in Radiology.

Charles E Kahn1.   

Abstract

Mesh：

Year:  2017        PMID： 29155645     DOI： 10.1148/radiol.2017171734

Source DB:  PubMed          Journal:  Radiology        ISSN： 0033-8419            Impact factor:   11.105


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  14 in total

1.  Deep learning-based image restoration algorithm for coronary CT angiography.

Authors:  Fuminari Tatsugami; Toru Higaki; Yuko Nakamura; Zhou Yu; Jian Zhou; Yujie Lu; Chikako Fujioka; Toshiro Kitagawa; Yasuki Kihara; Makoto Iida; Kazuo Awai
Journal:  Eur Radiol       Date:  2019-04-08       Impact factor: 5.315

2.  Artificial intelligence in orthodontics : Evaluation of a fully automated cephalometric analysis using a customized convolutional neural network.

Authors:  Felix Kunz; Angelika Stellzig-Eisenhauer; Florian Zeman; Julian Boldt
Journal:  J Orofac Orthop       Date:  2019-12-18       Impact factor: 1.938

Review 3.  Deep learning with convolutional neural network in radiology.

Authors:  Koichiro Yasaka; Hiroyuki Akai; Akira Kunimatsu; Shigeru Kiryu; Osamu Abe
Journal:  Jpn J Radiol       Date:  2018-03-01       Impact factor: 2.374

4.  Random forest classifiers aid in the detection of incidental osteoblastic osseous metastases in DEXA studies.

Authors:  Samir D Mehta; Ronnie Sebro
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-03-09       Impact factor: 2.924

Review 5.  Advances in computed tomography-based prognostic methods for intracerebral hemorrhage.

Authors:  Xiaoyu Huang; Dan Wang; Shenglin Li; Qing Zhou; Junlin Zhou
Journal:  Neurosurg Rev       Date:  2022-02-28       Impact factor: 3.042

6.  The effect of a deep-learning tool on dentists' performances in detecting apical radiolucencies on periapical radiographs.

Authors:  Manal H Hamdan; Lyudmila Tuzova; André Mol; Peter Z Tawil; Dmitry Tuzoff; Donald A Tyndall
Journal:  Dentomaxillofac Radiol       Date:  2022-09-12       Impact factor: 3.525

7.  Implementation and design of artificial intelligence in abdominal imaging.

Authors:  Hailey H Choi; Silvia D Chang; Marc D Kohli
Journal:  Abdom Radiol (NY)       Date:  2020-12

Review 8.  Connecting Technological Innovation in Artificial Intelligence to Real-world Medical Practice through Rigorous Clinical Validation: What Peer-reviewed Medical Journals Could Do.

Authors:  Seong Ho Park; Herbert Y Kressel
Journal:  J Korean Med Sci       Date:  2018-04-27       Impact factor: 2.153

9.  A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies.

Authors:  Livia Faes; Xiaoxuan Liu; Siegfried K Wagner; Dun Jack Fu; Konstantinos Balaskas; Dawn A Sim; Lucas M Bachmann; Pearse A Keane; Alastair K Denniston
Journal:  Transl Vis Sci Technol       Date:  2020-02-12       Impact factor: 3.283

10.  Computer-Aided System Application Value for Assessing Hip Development.

Authors:  Yaoxian Jiang; Guangyao Yang; Yuan Liang; Qin Shi; Boqi Cui; Xiaodan Chang; Zhaowen Qiu; Xudong Zhao
Journal:  Front Physiol       Date:  2020-12-01       Impact factor: 4.566
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