Literature DB >> 27898975

Adapting to Artificial Intelligence: Radiologists and Pathologists as Information Specialists.

Saurabh Jha1, Eric J Topol2.   

Abstract

Mesh：

Year:  2016        PMID： 27898975     DOI： 10.1001/jama.2016.17438

Source DB:  PubMed          Journal:  JAMA        ISSN： 0098-7484            Impact factor:   56.272


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  91 in total

1.  Impact of pre-analytical variables on deep learning accuracy in histopathology.

Authors:  Andrew D Jones; John Paul Graff; Morgan Darrow; Alexander Borowsky; Kristin A Olson; Regina Gandour-Edwards; Ananya Datta Mitra; Dongguang Wei; Guofeng Gao; Blythe Durbin-Johnson; Hooman H Rashidi
Journal:  Histopathology       Date:  2019-05-16       Impact factor: 5.087

Review 2.  Artificial intelligence for precision education in radiology.

Authors:  Michael Tran Duong; Andreas M Rauschecker; Jeffrey D Rudie; Po-Hao Chen; Tessa S Cook; R Nick Bryan; Suyash Mohan
Journal:  Br J Radiol       Date:  2019-07-26       Impact factor: 3.039

3.  Improving Cancer Diagnosis and Care: Patient Access to Oncologic Imaging Expertise.

Authors:  Sharyl J Nass; Christopher R Cogle; James A Brink; Curtis P Langlotz; Erin P Balogh; Ada Muellner; Dana Siegal; Richard L Schilsky; Hedvig Hricak
Journal:  J Clin Oncol       Date:  2019-05-03       Impact factor: 44.544

4.  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

5.  Deskilling in ophthalmology is the inevitable controllable?

Authors:  Jaime Levy; Alan Jotkowitz; Itay Chowers
Journal:  Eye (Lond)       Date:  2018-10-24       Impact factor: 3.775

6.  Classifying non-small cell lung cancer types and transcriptomic subtypes using convolutional neural networks.

Authors:  Kun-Hsing Yu; Feiran Wang; Gerald J Berry; Christopher Ré; Russ B Altman; Michael Snyder; Isaac S Kohane
Journal:  J Am Med Inform Assoc       Date:  2020-05-01       Impact factor: 4.497

7.  A Review of Challenges and Opportunities in Machine Learning for Health.

Authors:  Marzyeh Ghassemi; Tristan Naumann; Peter Schulam; Andrew L Beam; Irene Y Chen; Rajesh Ranganath
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2020-05-30

Review 8.  Understanding artificial intelligence based radiology studies: What is overfitting?

Authors:  Simukayi Mutasa; Shawn Sun; Richard Ha
Journal:  Clin Imaging       Date:  2020-04-23       Impact factor: 1.605

9.  A platform for artificial intelligence based identification of the extravasation potential of cancer cells into the brain metastatic niche.

Authors:  C Ryan Oliver; Megan A Altemus; Trisha M Westerhof; Hannah Cheriyan; Xu Cheng; Michelle Dziubinski; Zhifen Wu; Joel Yates; Aki Morikawa; Jason Heth; Maria G Castro; Brendan M Leung; Shuichi Takayama; Sofia D Merajver
Journal:  Lab Chip       Date:  2019-03-27       Impact factor: 6.799

10.  Artificial intelligence in sleep medicine: background and implications for clinicians.

Authors:  Cathy A Goldstein; Richard B Berry; David T Kent; David A Kristo; Azizi A Seixas; Susan Redline; M Brandon Westover
Journal:  J Clin Sleep Med       Date:  2020-04-15       Impact factor: 4.062
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