Literature DB >> 30734848

Artificial intelligence in radiology: who's afraid of the big bad wolf?

Benoit Gallix1,2, Jaron Chong3,4.   

Abstract

This Editorial comment refers to the article "Medical students' attitude towards artificial intelligence: a multicenter survey," Pinto Dos Santos D, et al Eur Radiol 2018. KEY POINTS: • Medical students are not well informed of the potential consequences of AI in radiology. • The fundamental principles of AI-as well as its application in medicine-must be taught in medical schools. • The radiologist specialty must actively reflect on how to validate, approve, and integrate AI algorithms into our clinical practices.

Entities:  

Keywords:  Artificial intelligence (AI); Diagnostic imaging; Education; Machine learning; Medical

Mesh：

Year:  2019        PMID： 30734848     DOI： 10.1007/s00330-018-5995-9

Source DB:  PubMed          Journal:  Eur Radiol        ISSN： 0938-7994            Impact factor:   5.315


  6 in total

Review 1.  Stakeholders' perspectives on the future of artificial intelligence in radiology: a scoping review.

Authors:  Ling Yang; Ioana Cezara Ene; Reza Arabi Belaghi; David Koff; Nina Stein; Pasqualina Lina Santaguida
Journal:  Eur Radiol       Date:  2021-09-21       Impact factor: 5.315

2.  Needs, Challenges, and Applications of Artificial Intelligence in Medical Education Curriculum.

Authors:  Joel Grunhut; Oge Marques; Adam T M Wyatt
Journal:  JMIR Med Educ       Date:  2022-06-07

3.  Developing a curriculum in artificial intelligence for emergency radiology.

Authors:  Edmund M Weisberg; Elliot K Fishman
Journal:  Emerg Radiol       Date:  2020-08

4.  An extensive survey of radiographers from the Middle East and India on artificial intelligence integration in radiology practice.

Authors:  Mohamed M Abuzaid; Wiam Elshami; Jonathan McConnell; H O Tekin
Journal:  Health Technol (Berl)       Date:  2021-08-06

5.  An international survey on AI in radiology in 1,041 radiologists and radiology residents part 1: fear of replacement, knowledge, and attitude.

Authors:  Merel Huisman; Erik Ranschaert; William Parker; Domenico Mastrodicasa; Martin Koci; Daniel Pinto de Santos; Francesca Coppola; Sergey Morozov; Marc Zins; Cedric Bohyn; Ural Koç; Jie Wu; Satyam Veean; Dominik Fleischmann; Tim Leiner; Martin J Willemink
Journal:  Eur Radiol       Date:  2021-03-20       Impact factor: 7.034

6.  Autonomous artificial intelligence in pediatric radiology: the use and perception of BoneXpert for bone age assessment.

Authors:  Hans Henrik Thodberg; Benjamin Thodberg; Joanna Ahlkvist; Amaka C Offiah
Journal:  Pediatr Radiol       Date:  2022-02-28
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.