Machine Learning–Guided Adjuvant Treatment of Head and Neck Cancer-Reference-Cited by-同舟云学术

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Machine Learning–Guided Adjuvant Treatment of Head and Neck Cancer

Published:2020-11-19 Issue:11 Volume:3 Page:e2025881
ISSN:2574-3805
Container-title:JAMA Network Open
language:en
Short-container-title:JAMA Netw Open

Author:

Howard Frederick Matthew¹,Kochanny Sara¹,Koshy Matthew²³,Spiotto Michael²³⁴,Pearson Alexander T.¹

Affiliation:

1. Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, Illinois

2. Department of Radiation and Cellular Oncology, The University of Chicago, Chicago, Illinois

3. Department of Radiation Oncology, University of Illinois at Chicago

4. Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston

Publisher

American Medical Association (AMA)

Subject

General Medicine

Link

https://jamanetwork.com/journals/jamanetworkopen/articlepdf/2773100/howard_2020_oi_200850_1605126549.35333.pdf

Reference37 articles.

1. Postoperative irradiation with or without concomitant chemotherapy for locally advanced head and neck cancer.;Bernier;N Engl J Med,2004

2. Postoperative concurrent radiotherapy and chemotherapy for high-risk squamous-cell carcinoma of the head and neck.;Cooper;N Engl J Med,2004

3. Defining risk levels in locally advanced head and neck cancers: a comparative analysis of concurrent postoperative radiation plus chemotherapy trials of the EORTC (#22931) and RTOG (# 9501).;Bernier;Head Neck,2005

4. Beyond positive margins and extracapsular extension: evaluating the utilization and clinical impact of postoperative chemoradiotherapy in resected locally advanced head and neck cancer.;Trifiletti;J Clin Oncol,2017

5. Survival outcomes for postoperative chemoradiation in intermediate-risk oral tongue cancers.;Spiotto;Head Neck,2017

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1. Assessing the Reporting Quality of Machine Learning Algorithms in Head and Neck Oncology;The Laryngoscope;2024-09-11

2. Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions;Current Oncology;2024-09-06

3. Deep learning-based prediction of thyroid cartilage invasion: Analysis on CT images in laryngeal and hypopharyngeal squamous cell carcinoma;Journal of Radiation Research and Applied Sciences;2024-09

4. Utilizing machine learning to tailor radiotherapy and chemoradiotherapy for low-grade glioma patients;PLOS ONE;2024-08-20

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