Literature DB >> 31414886

Global Trend in Artificial Intelligence-Based Publications in Radiology From 2000 to 2018.

Elizabeth West1, Simukayi Mutasa1, Zelos Zhu2, Richard Ha3.   

Abstract

OBJECTIVE. The purpose of this study is to evaluate the global trend in artificial intelligence (AI)-based research productivity involving radiology and its subspecialty disciplines. CONCLUSION. The United States is the global leader in AI radiology publication productivity, accounting for almost half of total radiology AI output. Other countries have increased their productivity. Notably, China has increased its productivity exponentially to close to 20% of all AI publications. The top three most productive radiology subspecialties were neuroradiology, body and chest, and nuclear medicine.

Keywords:  artificial intelligence; artificial neural network; bibliometric

Mesh：

Year:  2019        PMID： 31414886     DOI： 10.2214/AJR.19.21346

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN： 0361-803X            Impact factor:   3.959


  8 in total

1.  External validation of AI algorithms in breast radiology: the last healthcare security checkpoint?

Authors:  Teodoro Martin-Noguerol; Antonio Luna
Journal:  Quant Imaging Med Surg       Date:  2021-06

2.  Code and Data Sharing Practices in the Radiology Artificial Intelligence Literature: A Meta-Research Study.

Authors:  Kesavan Venkatesh; Samantha M Santomartino; Jeremias Sulam; Paul H Yi
Journal:  Radiol Artif Intell       Date:  2022-08-17

3.  Mitigating Bias in Radiology Machine Learning: 1. Data Handling.

Authors:  Pouria Rouzrokh; Bardia Khosravi; Shahriar Faghani; Mana Moassefi; Diana V Vera Garcia; Yashbir Singh; Kuan Zhang; Gian Marco Conte; Bradley J Erickson
Journal:  Radiol Artif Intell       Date:  2022-08-24

4.  Mammography: density equalizing mapping of the global research architecture.

Authors:  Dörthe Brüggmann; Matthias Grimstein; Christine Solbach; Doris Klingelhöfer; Michael H K Bendels; Jenny Jaque; David A Groneberg
Journal:  Quant Imaging Med Surg       Date:  2021-01

Review 5.  The current and future roles of artificial intelligence in pediatric radiology.

Authors:  Jeffrey P Otjen; Michael M Moore; Erin K Romberg; Francisco A Perez; Ramesh S Iyer
Journal:  Pediatr Radiol       Date:  2021-05-27

Review 6.  Update on establishing and managing an overnight emergency radiology division.

Authors:  Meir H Scheinfeld; R Joshua Dym
Journal:  Emerg Radiol       Date:  2021-04-21

Review 7.  Clinical impact and quality of randomized controlled trials involving interventions evaluating artificial intelligence prediction tools: a systematic review.

Authors:  Qian Zhou; Zhi-Hang Chen; Yi-Heng Cao; Sui Peng
Journal:  NPJ Digit Med       Date:  2021-10-28

8.  A Comparative Analysis of Six Machine Learning Models Based on Ultrasound to Distinguish the Possibility of Central Cervical Lymph Node Metastasis in Patients With Papillary Thyroid Carcinoma.

Authors:  Ying Zou; Yan Shi; Jihua Liu; Guanghe Cui; Zhi Yang; Meiling Liu; Fang Sun
Journal:  Front Oncol       Date:  2021-06-25       Impact factor: 6.244
  8 in total

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