Literature DB >> 33937807

Making AI Even Smarter Using Ensembles: A Challenge to Future Challenges and Implications for Clinical Care.

Eliot L Siegel1.   

Abstract

Entities:  

Year:  2019        PMID： 33937807      PMCID： PMC8017374          DOI： 10.1148/ryai.2019190187

Source DB:  PubMed          Journal:  Radiol Artif Intell        ISSN： 2638-6100


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  9 in total

1.  Second-opinion consultations in neuroradiology.

Authors:  Elcin Zan; David M Yousem; Marco Carone; Jonathan S Lewin
Journal:  Radiology       Date:  2010-04       Impact factor: 11.105

2.  Nonradiologists as second readers for intraluminal findings at CT colonography.

Authors:  Kale D Bodily; Joel G Fletcher; Trudy Engelby; Mark Percival; Jared A Christensen; Brett Young; Aaron J Krych; Douglas C Vander Kooi; Drew Rodysill; Jeff L Fidler; C Daniel Johnson
Journal:  Acad Radiol       Date:  2005-01       Impact factor: 3.173

3.  Second-Opinion Subspecialty Consultations in Musculoskeletal Radiology.

Authors:  Majid Chalian; Filippo Del Grande; Rashmi S Thakkar; Sahar F Jalali; Avneesh Chhabra; John A Carrino
Journal:  AJR Am J Roentgenol       Date:  2016-04-08       Impact factor: 3.959

4.  Will machine learning end the viability of radiology as a thriving medical specialty?

Authors:  Stephen Chan; Eliot L Siegel
Journal:  Br J Radiol       Date:  2018-11-01       Impact factor: 3.039

5.  Impact of the number of readers on mammography interpretation.

Authors:  K Hukkinen; L Kivisaari; T Vehmas
Journal:  Acta Radiol       Date:  2006-09       Impact factor: 1.990

6.  Second-Opinion Review of Breast Imaging at a Cancer Center: Is It Worthwhile?

Authors:  Kristen Coffey; Donna D'Alessio; Delia M Keating; Elizabeth A Morris
Journal:  AJR Am J Roentgenol       Date:  2017-03-16       Impact factor: 3.959

7.  Second-Opinion Interpretations of Gynecologic Oncologic MRI Examinations by Sub-Specialized Radiologists Influence Patient Care.

Authors:  Yulia Lakhman; Melvin D'Anastasi; Maura Miccò; Chiara Scelzo; Hebert Alberto Vargas; Stephanie Nougaret; Ramon E Sosa; Dennis S Chi; Nadeem R Abu-Rustum; Hedvig Hricak; Evis Sala
Journal:  Eur Radiol       Date:  2015-10-22       Impact factor: 5.315

8.  Improving Automated Pediatric Bone Age Estimation Using Ensembles of Models from the 2017 RSNA Machine Learning Challenge.

Authors:  Ian Pan; Hans Henrik Thodberg; Safwan S Halabi; Jayashree Kalpathy-Cramer; David B Larson
Journal:  Radiol Artif Intell       Date:  2019-11-20

9.  The RSNA Pediatric Bone Age Machine Learning Challenge.

Authors:  Safwan S Halabi; Luciano M Prevedello; Jayashree Kalpathy-Cramer; Artem B Mamonov; Alexander Bilbily; Mark Cicero; Ian Pan; Lucas Araújo Pereira; Rafael Teixeira Sousa; Nitamar Abdala; Felipe Campos Kitamura; Hans H Thodberg; Leon Chen; George Shih; Katherine Andriole; Marc D Kohli; Bradley J Erickson; Adam E Flanders
Journal:  Radiology       Date:  2018-11-27       Impact factor: 29.146
  9 in total

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