Comment on "Natural Language Processing in Surgery: A Systematic Review and Meta-analysis"
- PMID: 34016811
- DOI: 10.1097/SLA.0000000000004939
Comment on "Natural Language Processing in Surgery: A Systematic Review and Meta-analysis"
Conflict of interest statement
The authors report no conflicts of interest.
Comment on
-
Natural Language Processing in Surgery: A Systematic Review and Meta-analysis.Ann Surg. 2021 May 1;273(5):900-908. doi: 10.1097/SLA.0000000000004419. Ann Surg. 2021. PMID: 33074901
References
-
- Mellia JA, Basta MN, Toyoda Y, et al. Natural language processing in surgery: a systematic review and meta-analysis. Ann Surg 2021; 273:900–908.
-
- Sorin V, Barash Y, Konen E, et al. Deep-learning natural language processing for oncological applications. Lancet Oncol 2020; 21:1553–1556.
-
- Anteby R, Horesh N, Soffer S, et al. Deep learning visual analysis in laparoscopic surgery: a systematic review and diagnostic test accuracy meta-analysis. Surg Endosc 2021; 35:1521–1533.
-
- Gori D, Banerjee I, Chung BI, et al. Extracting patient-centered outcomes from clinical notes in electronic health records: assessment of urinary incontinence after radical prostatectomy. eGEMs 2019; 7:43.
-
- Devlin J, Chang M-W, Lee K, Toutanova K. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. 2018; Available at http://arxiv.org/abs/1810.04805 .
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
