Elmusrati M - Search Results

1

Machine learning application for prediction of locoregional recurrences in early oral tongue cancer: a Web-based prognostic tool.

Alabi RO, Elmusrati M, Sawazaki-Calone I, Kowalski LP, Haglund C, Coletta RD, Mäkitie AA, Salo T, Leivo I, Almangush A. Alabi RO, et al. Among authors: elmusrati m. Virchows Arch. 2019 Oct;475(4):489-497. doi: 10.1007/s00428-019-02642-5. Epub 2019 Aug 17. Virchows Arch. 2019. PMID: 31422502 Free PMC article.

2

Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer.

Alabi RO, Elmusrati M, Sawazaki-Calone I, Kowalski LP, Haglund C, Coletta RD, Mäkitie AA, Salo T, Almangush A, Leivo I. Alabi RO, et al. Among authors: elmusrati m. Int J Med Inform. 2020 Apr;136:104068. doi: 10.1016/j.ijmedinf.2019.104068. Epub 2019 Dec 28. Int J Med Inform. 2020. PMID: 31923822

3

Comparison of nomogram with machine learning techniques for prediction of overall survival in patients with tongue cancer.

Alabi RO, Mäkitie AA, Pirinen M, Elmusrati M, Leivo I, Almangush A. Alabi RO, et al. Among authors: elmusrati m. Int J Med Inform. 2021 Jan;145:104313. doi: 10.1016/j.ijmedinf.2020.104313. Epub 2020 Oct 24. Int J Med Inform. 2021. PMID: 33142259

4

Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future-A systematic review.

Alabi RO, Youssef O, Pirinen M, Elmusrati M, Mäkitie AA, Leivo I, Almangush A. Alabi RO, et al. Among authors: elmusrati m. Artif Intell Med. 2021 May;115:102060. doi: 10.1016/j.artmed.2021.102060. Epub 2021 Mar 26. Artif Intell Med. 2021. PMID: 34001326 Review.

5

Mitigating Burnout in an Oncological Unit: A Scoping Review.

Alabi RO, Hietanen P, Elmusrati M, Youssef O, Almangush A, Mäkitie AA. Alabi RO, et al. Among authors: elmusrati m. Front Public Health. 2021 Oct 1;9:677915. doi: 10.3389/fpubh.2021.677915. eCollection 2021. Front Public Health. 2021. PMID: 34660505 Free PMC article. Review.

6

Utilizing Deep Machine Learning for Prognostication of Oral Squamous Cell Carcinoma-A Systematic Review.

Alabi RO, Bello IO, Youssef O, Elmusrati M, Mäkitie AA, Almangush A. Alabi RO, et al. Among authors: elmusrati m. Front Oral Health. 2021 Jul 26;2:686863. doi: 10.3389/froh.2021.686863. eCollection 2021. Front Oral Health. 2021. PMID: 35048032 Free PMC article.

7

Deep Machine Learning for Oral Cancer: From Precise Diagnosis to Precision Medicine.

Alabi RO, Almangush A, Elmusrati M, Mäkitie AA. Alabi RO, et al. Among authors: elmusrati m. Front Oral Health. 2022 Jan 11;2:794248. doi: 10.3389/froh.2021.794248. eCollection 2021. Front Oral Health. 2022. PMID: 35088057 Free PMC article.

8

Measuring the Usability and Quality of Explanations of a Machine Learning Web-Based Tool for Oral Tongue Cancer Prognostication.

Alabi RO, Almangush A, Elmusrati M, Leivo I, Mäkitie A. Alabi RO, et al. Among authors: elmusrati m. Int J Environ Res Public Health. 2022 Jul 8;19(14):8366. doi: 10.3390/ijerph19148366. Int J Environ Res Public Health. 2022. PMID: 35886221 Free PMC article.

9

An interpretable machine learning prognostic system for risk stratification in oropharyngeal cancer.

Alabi RO, Almangush A, Elmusrati M, Leivo I, Mäkitie AA. Alabi RO, et al. Among authors: elmusrati m. Int J Med Inform. 2022 Dec;168:104896. doi: 10.1016/j.ijmedinf.2022.104896. Epub 2022 Oct 13. Int J Med Inform. 2022. PMID: 36279655 Free article.

10

Advanced-stage tongue squamous cell carcinoma: a machine learning model for risk stratification and treatment planning.

Alabi RO, Elmusrati M, Leivo I, Almangush A, Mäkitie AA. Alabi RO, et al. Among authors: elmusrati m. Acta Otolaryngol. 2023 Mar;143(3):206-214. doi: 10.1080/00016489.2023.2172208. Epub 2023 Feb 15. Acta Otolaryngol. 2023. PMID: 36794334

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