Detalhe da pesquisa
1.
The risk of second primary cancer after nasopharyngeal cancer: a systematic review.
Eur Arch Otorhinolaryngol
; 280(11): 4775-4781, 2023 Nov.
Artigo
Inglês
| MEDLINE | ID: mdl-37495725
2.
Clinical significance of tumor-stroma ratio in head and neck cancer: a systematic review and meta-analysis.
BMC Cancer
; 21(1): 480, 2021 Apr 30.
Artigo
Inglês
| MEDLINE | ID: mdl-33931044
3.
Interpretable machine learning model for prediction of overall survival in laryngeal cancer.
Acta Otolaryngol
; : 1-7, 2024 Jan 27.
Artigo
Inglês
| MEDLINE | ID: mdl-38279817
4.
Artificial Intelligence-Driven Radiomics in Head and Neck Cancer: Current Status and Future Prospects.
Int J Med Inform
; 188: 105464, 2024 Aug.
Artigo
Inglês
| MEDLINE | ID: mdl-38728812
5.
Advanced-stage tongue squamous cell carcinoma: a machine learning model for risk stratification and treatment planning.
Acta Otolaryngol
; 143(3): 206-214, 2023 Mar.
Artigo
Inglês
| MEDLINE | ID: mdl-36794334
6.
Machine learning explainability in nasopharyngeal cancer survival using LIME and SHAP.
Sci Rep
; 13(1): 8984, 2023 06 02.
Artigo
Inglês
| MEDLINE | ID: mdl-37268685
7.
Application of artificial intelligence for overall survival risk stratification in oropharyngeal carcinoma: A validation of ProgTOOL.
Int J Med Inform
; 175: 105064, 2023 07.
Artigo
Inglês
| MEDLINE | ID: mdl-37094545
8.
Clinical significance of overall assessment of tumor-infiltrating lymphocytes in oropharyngeal cancer: A meta-analysis.
Pathol Res Pract
; 243: 154342, 2023 Mar.
Artigo
Inglês
| MEDLINE | ID: mdl-36758415
9.
Artificial Intelligence in Head and Neck Cancer: A Systematic Review of Systematic Reviews.
Adv Ther
; 40(8): 3360-3380, 2023 08.
Artigo
Inglês
| MEDLINE | ID: mdl-37291378
10.
Measuring the Usability and Quality of Explanations of a Machine Learning Web-Based Tool for Oral Tongue Cancer Prognostication.
Int J Environ Res Public Health
; 19(14)2022 07 08.
Artigo
Inglês
| MEDLINE | ID: mdl-35886221
11.
An interpretable machine learning prognostic system for risk stratification in oropharyngeal cancer.
Int J Med Inform
; 168: 104896, 2022 12.
Artigo
Inglês
| MEDLINE | ID: mdl-36279655
12.
Managing Cachexia in Head and Neck Cancer: a Systematic Scoping Review.
Adv Ther
; 39(4): 1502-1523, 2022 04.
Artigo
Inglês
| MEDLINE | ID: mdl-35224702
13.
Deep Machine Learning for Oral Cancer: From Precise Diagnosis to Precision Medicine.
Front Oral Health
; 2: 794248, 2021.
Artigo
Inglês
| MEDLINE | ID: mdl-35088057
14.
Mitigating Burnout in an Oncological Unit: A Scoping Review.
Front Public Health
; 9: 677915, 2021.
Artigo
Inglês
| MEDLINE | ID: mdl-34660505
15.
Utilizing Deep Machine Learning for Prognostication of Oral Squamous Cell Carcinoma-A Systematic Review.
Front Oral Health
; 2: 686863, 2021.
Artigo
Inglês
| MEDLINE | ID: mdl-35048032
16.
Comparison of nomogram with machine learning techniques for prediction of overall survival in patients with tongue cancer.
Int J Med Inform
; 145: 104313, 2021 01.
Artigo
Inglês
| MEDLINE | ID: mdl-33142259
17.
Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future-A systematic review.
Artif Intell Med
; 115: 102060, 2021 05.
Artigo
Inglês
| MEDLINE | ID: mdl-34001326
18.
Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer.
Int J Med Inform
; 136: 104068, 2020 04.
Artigo
Inglês
| MEDLINE | ID: mdl-31923822
19.
Machine learning application for prediction of locoregional recurrences in early oral tongue cancer: a Web-based prognostic tool.
Virchows Arch
; 475(4): 489-497, 2019 Oct.
Artigo
Inglês
| MEDLINE | ID: mdl-31422502
20.
Machine learning in head and neck cancer: Importance of a web-based prognostic tool for improved decision making.
Oral Oncol
; 124: 105452, 2022 01.
Artigo
Inglês
| MEDLINE | ID: mdl-34266743