Literature DB >> 30473436

Radiology and artificial intelligence: An opportunity for our specialty.

J-P Beregi1, M Zins2, J-P Masson3, P Cart4, J-M Bartoli5, B Silberman3, F Boudghene4, J-F Meder2.   

Abstract

Mesh：

Year:  2018        PMID： 30473436     DOI： 10.1016/j.diii.2018.11.002

Source DB:  PubMed          Journal:  Diagn Interv Imaging        ISSN： 2211-5684            Impact factor:   4.026


× No keyword cloud information.
  4 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.  Patients' Perceptions Toward Human-Artificial Intelligence Interaction in Health Care: Experimental Study.

Authors:  Pouyan Esmaeilzadeh; Tala Mirzaei; Spurthy Dharanikota
Journal:  J Med Internet Res       Date:  2021-11-25       Impact factor: 5.428

3.  Deep learning algorithm in detecting intracranial hemorrhages on emergency computed tomographies.

Authors:  Almut Kundisch; Alexander Hönning; Sven Mutze; Lutz Kreissl; Frederik Spohn; Johannes Lemcke; Maximilian Sitz; Paul Sparenberg; Leonie Goelz
Journal:  PLoS One       Date:  2021-11-29       Impact factor: 3.240

4.  Use of AI-based tools for healthcare purposes: a survey study from consumers' perspectives.

Authors:  Pouyan Esmaeilzadeh
Journal:  BMC Med Inform Decis Mak       Date:  2020-07-22       Impact factor: 2.796
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.