Literature DB >> 29941242

Artificial Intelligence and Machine Learning: Opportunities for Radiologists in Training.

Gerard K Nguyen1, Anup S Shetty2.   

Abstract

Mesh：

Year:  2018        PMID： 29941242     DOI： 10.1016/j.jacr.2018.05.024

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN： 1546-1440            Impact factor:   5.532


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  7 in total

Review 1.  Current applications and future directions of deep learning in musculoskeletal radiology.

Authors:  Pauley Chea; Jacob C Mandell
Journal:  Skeletal Radiol       Date:  2019-08-04       Impact factor: 2.199

2.  Preparing Radiologists to Lead in the Era of Artificial Intelligence: Designing and Implementing a Focused Data Science Pathway for Senior Radiology Residents.

Authors:  Walter F Wiggins; M Travis Caton; Kirti Magudia; Sha-Har A Glomski; Elizabeth George; Michael H Rosenthal; Glenn C Gaviola; Katherine P Andriole
Journal:  Radiol Artif Intell       Date:  2020-11-04

Review 3.  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

4.  Training opportunities of artificial intelligence (AI) in radiology: a systematic review.

Authors:  Floor Schuur; Mohammad H Rezazade Mehrizi; Erik Ranschaert
Journal:  Eur Radiol       Date:  2021-02-15       Impact factor: 5.315

Review 5.  Big data, artificial intelligence, and structured reporting.

Authors:  Daniel Pinto Dos Santos; Bettina Baeßler
Journal:  Eur Radiol Exp       Date:  2018-12-05

Review 6.  Artificial Intelligence Education Programs for Health Care Professionals: Scoping Review.

Authors:  Rebecca Charow; Tharshini Jeyakumar; Sarah Younus; Elham Dolatabadi; Mohammad Salhia; Dalia Al-Mouaswas; Melanie Anderson; Sarmini Balakumar; Megan Clare; Azra Dhalla; Caitlin Gillan; Shabnam Haghzare; Ethan Jackson; Nadim Lalani; Jane Mattson; Wanda Peteanu; Tim Tripp; Jacqueline Waldorf; Spencer Williams; Walter Tavares; David Wiljer
Journal:  JMIR Med Educ       Date:  2021-12-13

7.  Structured report data can be used to develop deep learning algorithms: a proof of concept in ankle radiographs.

Authors:  Daniel Pinto Dos Santos; Sebastian Brodehl; Bettina Baeßler; Gordon Arnhold; Thomas Dratsch; Seung-Hun Chon; Peter Mildenberger; Florian Jungmann
Journal:  Insights Imaging       Date:  2019-09-23
  7 in total

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