Shin D - Search Results

1

Quality assessment of machine learning models for diagnostic imaging in orthopaedics: A systematic review.

Lans A, Pierik RJB, Bales JR, Fourman MS, Shin D, Kanbier LN, Rifkin J, DiGiovanni WH, Chopra RR, Moeinzad R, Verlaan JJ, Schwab JH. Lans A, et al. Among authors: shin d. Artif Intell Med. 2022 Oct;132:102396. doi: 10.1016/j.artmed.2022.102396. Epub 2022 Sep 6. Artif Intell Med. 2022. PMID: 36207080 Review.

2

Development of machine learning algorithms to predict achievement of minimal clinically important difference for the KOOS-PS following total knee arthroplasty.

Katakam A, Karhade AV, Collins A, Shin D, Bragdon C, Chen AF, Melnic CM, Schwab JH, Bedair HS. Katakam A, et al. Among authors: shin d. J Orthop Res. 2022 Apr;40(4):808-815. doi: 10.1002/jor.25125. Epub 2021 Jul 18. J Orthop Res. 2022. PMID: 34275163 Free article.

3

Natural language processing for prediction of readmission in posterior lumbar fusion patients: which free-text notes have the most utility?

Karhade AV, Lavoie-Gagne O, Agaronnik N, Ghaednia H, Collins AK, Shin D, Schwab JH. Karhade AV, et al. Among authors: shin d. Spine J. 2022 Feb;22(2):272-277. doi: 10.1016/j.spinee.2021.08.002. Epub 2021 Aug 15. Spine J. 2022. PMID: 34407468

4

Are Commonly Used Geographically Based Social Determinant of Health Indices in Orthopaedic Surgery Research Correlated With Each Other and With PROMIS Global-10 Physical and Mental Health Scores?

Bernstein DN, Shin D, Poolman RW, Schwab JH, Tobert DG. Bernstein DN, et al. Among authors: shin d. Clin Orthop Relat Res. 2024 Apr 1;482(4):604-614. doi: 10.1097/CORR.0000000000002896. Epub 2023 Oct 26. Clin Orthop Relat Res. 2024. PMID: 37882798

5

Natural language processing with deep learning for medical adverse event detection from free-text medical narratives: A case study of detecting total hip replacement dislocation.

Borjali A, Magnéli M, Shin D, Malchau H, Muratoglu OK, Varadarajan KM. Borjali A, et al. Among authors: shin d. Comput Biol Med. 2021 Feb;129:104140. doi: 10.1016/j.compbiomed.2020.104140. Epub 2020 Nov 24. Comput Biol Med. 2021. PMID: 33278631

6

Using machine learning in the prediction of symptomatic venous thromboembolism following ankle fracture.

Nassour N, Akhbari B, Ranganathan N, Shin D, Ghaednia H, Ashkani-Esfahani S, DiGiovanni CW, Guss D. Nassour N, et al. Among authors: shin d. Foot Ankle Surg. 2024 Feb;30(2):110-116. doi: 10.1016/j.fas.2023.10.003. Epub 2023 Oct 14. Foot Ankle Surg. 2024. PMID: 38193887

7

A deep learning approach using an ensemble model to autocreate an image-based hip fracture registry.

Oosterhoff JHF, Jeon S, Akhbari B, Shin D, Tobert DG, Do S, Ashkani-Esfahani S. Oosterhoff JHF, et al. Among authors: shin d. OTA Int. 2023 Dec 22;6(5 Suppl):e283. doi: 10.1097/OI9.0000000000000283. eCollection 2023 Dec. OTA Int. 2023. PMID: 38152438 Free PMC article.

8

Different Designs of Proximal Femoral Stems for Total Hip Arthroplasty: Mid-Term Clinical and Patient-Reported Functional Outcomes.

Katakam A, Hosseinzadeh S, Humphrey TJ, Collins A, Shin D, Melnic CM, Bragdon C, Bedair HS. Katakam A, et al. Among authors: shin d. Cureus. 2021 Nov 19;13(11):e19745. doi: 10.7759/cureus.19745. eCollection 2021 Nov. Cureus. 2021. PMID: 34938623 Free PMC article.

9

Social determinants of health and disparities in spine surgery: a 10-year analysis of 8,565 cases using ensemble machine learning and multilayer perceptron.

Shin D, Razzouk J, Thomas J, Nguyen K, Cabrera A, Bohen D, Lipa SA, Bono CM, Shaffrey CI, Cheng W, Danisa O. Shin D, et al. Spine J. 2024 Jul 20:S1529-9430(24)00890-8. doi: 10.1016/j.spinee.2024.07.003. Online ahead of print. Spine J. 2024. PMID: 39033881 Free article.

10

Obesity Increases Risk of Failure to Achieve the 1-Year PROMIS PF-10a Minimal Clinically Important Difference Following Total Joint Arthroplasty.

Katakam A, Collins AK, Sauder N, Shin D, Bragdon CR, Chen AF, Melnic CM, Bedair HS. Katakam A, et al. Among authors: shin d. J Arthroplasty. 2021 Jul;36(7S):S184-S191. doi: 10.1016/j.arth.2020.11.004. Epub 2020 Nov 10. J Arthroplasty. 2021. PMID: 33303327

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