Literature DB >> 28447901

Straw Men, Deep Learning, and the Future of the Human Microscopist: Response to "Artificial Intelligence and the Pathologist: Future Frenemies?"

Scott R Granter, Andrew H Beck, David J Papke1.   

Abstract

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Year:  2017        PMID： 28447901     DOI： 10.5858/arpa.2017-0023-ED

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN： 0003-9985            Impact factor:   5.534


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  4 in total

1.  Implementing the DICOM Standard for Digital Pathology.

Authors:  Markus D Herrmann; David A Clunie; Andriy Fedorov; Sean W Doyle; Steven Pieper; Veronica Klepeis; Long P Le; George L Mutter; David S Milstone; Thomas J Schultz; Ron Kikinis; Gopal K Kotecha; David H Hwang; Katherine P Andriole; A John Iafrate; James A Brink; Giles W Boland; Keith J Dreyer; Mark Michalski; Jeffrey A Golden; David N Louis; Jochen K Lennerz
Journal:  J Pathol Inform       Date:  2018-11-02

Review 2.  Artificial intelligence (AI) in medicine, current applications and future role with special emphasis on its potential and promise in pathology: present and future impact, obstacles including costs and acceptance among pathologists, practical and philosophical considerations. A comprehensive review.

Authors:  Zubair Ahmad; Shabina Rahim; Maha Zubair; Jamshid Abdul-Ghafar
Journal:  Diagn Pathol       Date:  2021-03-17       Impact factor: 2.644

3.  Visual Resolve of Modern Educational Technology Based on Artificial Intelligence under the Digital Background.

Authors:  Xueqiong Hong; Lin Wang
Journal:  Comput Intell Neurosci       Date:  2022-09-23

4.  Initial application of deep learning to borescope detection of endoscope working channel damage and residue.

Authors:  Monique T Barakat; Mohit Girotra; Subhas Banerjee
Journal:  Endosc Int Open       Date:  2022-01-14
  4 in total

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