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Can Natural Language Processing and Artificial Intelligence Automate The Generation of Billing Codes From Operative Note Dictations? |
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| | Jun S. Kim, Andrew Vivas, Varun Arvind, Joseph Lombardi, Jay Reidler, Scott L Zuckerman, Nathan J. Lee, Meghana Vulapalli, Eric A Geng, Brian H. Cho, Kazuaki Morizane, Samuel K. Cho, Ronald A. Lehman, Lawrence G. Lenke, Kiehyun Daniel Riew | | | Global Spine Journal. 2022; : 2192568221 | | | [Pubmed] [Google Scholar] [DOI] | | | 2 |
Comparison of machine-learning algorithms for the prediction of current procedural terminology (CPT) codes from pathology reports |
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| | Joshua Levy, Nishitha Vattikonda, Christian Haudenschild, Brock Christensen, Louis Vaickus | | | Journal of Pathology Informatics. 2022; 13(1): 3 | | | [Pubmed] [Google Scholar] [DOI] | | | 3 |
A tree based approach for multi-class classification of surgical procedures using structured and unstructured data |
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| | Tannaz Khaleghi, Alper Murat, Suzan Arslanturk | | | BMC Medical Informatics and Decision Making. 2021; 21(1) | | | [Pubmed] [Google Scholar] [DOI] | | | 4 |
Neural Machine Translation–Based Automated Current Procedural Terminology Classification System Using Procedure Text: Development and Validation Study |
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| | Hyeon Joo, Michael Burns, Sai Saradha Kalidaikurichi Lakshmanan, Yaokun Hu, V G Vinod Vydiswaran | | | JMIR Formative Research. 2021; 5(5): e22461 | | | [Pubmed] [Google Scholar] [DOI] | | | 5 |
Using an R Program to Monitor Pathology Reports for Omissions in Reporting Ancillary Tests and Errors in Test Names |
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| | Jay J. Ye | | | Archives of Pathology & Laboratory Medicine. 2020; 144(8): 917 | | | [Pubmed] [Google Scholar] [DOI] | |
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