AIMC Topic: Papillomavirus Infections

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Clinical evaluation of an artificial intelligence-assisted cytological system among screening strategies for a cervical cancer high-risk population.

BMC cancer Jun 27, 2024
BACKGROUND: Primary cervical cancer screening and treating precancerous lesions are effective ways to prevent cervical cancer. However, the coverage rates of human papillomavirus (HPV) vaccines and routine screening are low in most developing countri...
Adult Sensitivity and Specificity Uterine Cervical Neoplasms Middle Aged Artificial Intelligence Female Young Adult Cytodiagnosis Uterine Cervical Dysplasia Colposcopy China ROC Curve Papillomavirus Infections Early Detection of Cancer Humans
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Explainable prediction model for the human papillomavirus status in patients with oropharyngeal squamous cell carcinoma using CNN on CT images.

Scientific reports Jun 20, 2024
Several studies have emphasised how positive and negative human papillomavirus (HPV+  and HPV-, respectively) oropharyngeal squamous cell carcinoma (OPSCC) has distinct molecular profiles, tumor characteristics, and disease outcomes. Different radiom...
Humans Papillomavirus Infections Oropharyngeal Neoplasms Squamous Cell Carcinoma of Head and Neck Human Papillomavirus Viruses Neural Networks, Computer Tumor Burden Carcinoma, Squamous Cell Tomography, X-Ray Computed Papillomaviridae Aged Female Male Middle Aged
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Development of a machine learning-based model for predicting positive margins in high-grade squamous intraepithelial lesion (HSIL) treatment by Cold Knife Conization(CKC): a single-center retrospective study.

BMC women's health Jun 7, 2024
OBJECTIVES: This study aims to analyze factors associated with positive surgical margins following cold knife conization (CKC) in patients with cervical high-grade squamous intraepithelial lesion (HSIL) and to develop a machine-learning-based risk pr...
Young Adult Adult Uterine Cervical Neoplasms Middle Aged Retrospective Studies Female Risk Factors Aged Cryosurgery Squamous Intraepithelial Lesions Conization Squamous Intraepithelial Lesions of the Cervix Papillomavirus Infections Logistic Models Margins of Excision Uterine Cervical Dysplasia Humans Machine Learning
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Machine learning models for abstract screening task - A systematic literature review application for health economics and outcome research.

BMC medical research methodology May 9, 2024
OBJECTIVE: Systematic literature reviews (SLRs) are critical for life-science research. However, the manual selection and retrieval of relevant publications can be a time-consuming process. This study aims to (1) develop two disease-specific annotate...
Machine Learning Algorithms Deep Learning Papillomavirus Infections Outcome Assessment, Health Care Economics, Medical Abstracting and Indexing Humans
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Fully automated 3D machine learning model for HPV status characterization in oropharyngeal squamous cell carcinomas based on CT images.

American journal of otolaryngology Apr 29, 2024
BACKGROUND: Human papillomavirus (HPV) status plays a major role in predicting oropharyngeal squamous cell carcinoma (OPSCC) survival. This study assesses the accuracy of a fully automated 3D convolutional neural network (CNN) in predicting HPV statu...
Predictive Value of Tests Papillomaviridae Oropharyngeal Neoplasms Middle Aged Neural Networks, Computer Machine Learning Imaging, Three-Dimensional Tomography, X-Ray Computed Papillomavirus Infections Female Humans Carcinoma, Squamous Cell Aged Sensitivity and Specificity Male
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Multiparametric MRI-based radiomics model for predicting human papillomavirus status in oropharyngeal squamous cell carcinoma: optimization using oversampling and machine learning techniques.

European radiology Oct 18, 2023
OBJECTIVES: To develop and validate a multiparametric MRI-based radiomics model with optimal oversampling and machine learning techniques for predicting human papillomavirus (HPV) status in oropharyngeal squamous cell carcinoma (OPSCC).
Humans Machine Learning Retrospective Studies Female Aged Radiomics Male Oropharyngeal Neoplasms Multiparametric Magnetic Resonance Imaging Middle Aged Human Papillomavirus Viruses Papillomavirus Infections Squamous Cell Carcinoma of Head and Neck Papillomaviridae
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Prognostic significance of cyclin D1 expression pattern in HPV-negative oral and oropharyngeal carcinoma: A deep-learning approach.

Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology Sep 13, 2023
BACKGROUND: We aimed to establish image recognition and survival prediction models using a novel scoring system of cyclin D1 expression pattern in patients with human papillomavirus-negative oral or oropharyngeal squamous cell carcinoma.
Oropharyngeal Neoplasms Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Mouth Neoplasms Cyclin D1 Carcinoma, Squamous Cell Deep Learning Papillomavirus Infections Humans Prognosis Retrospective Studies
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A Novel Deep Learning Algorithm for Human Papillomavirus Infection Prediction in Head and Neck Cancers Using Routine Histology Images.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Aug 29, 2023
The etiology of head and neck squamous cell carcinoma (HNSCC) involves multiple carcinogens, such as alcohol, tobacco, and infection with human papillomavirus (HPV). Because HPV infection influences the prognosis, treatment, and survival of patients ...
Carcinoma, Squamous Cell Hematoxylin Tumor Microenvironment Deep Learning Papillomavirus Infections Humans Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Papillomaviridae Eosine Yellowish-(YS)
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Screening for extranodal extension in HPV-associated oropharyngeal carcinoma: evaluation of a CT-based deep learning algorithm in patient data from a multicentre, randomised de-escalation trial.

The Lancet. Digital health Apr 21, 2023
BACKGROUND: Pretreatment identification of pathological extranodal extension (ENE) would guide therapy de-escalation strategies for in human papillomavirus (HPV)-associated oropharyngeal carcinoma but is diagnostically challenging. ECOG-ACRIN Cancer ...
Extranodal Extension Human Papillomavirus Viruses Humans Algorithms Retrospective Studies Tomography, X-Ray Computed Deep Learning Papillomavirus Infections Carcinoma Oropharyngeal Neoplasms
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DeepClassPathway: Molecular pathway aware classification using explainable deep learning.

European journal of cancer (Oxford, England : 1990) Sep 30, 2022
OBJECTIVE: HPV-associated head and neck cancer is correlated with favorable prognosis; however, its underlying biology is not fully understood. We propose an explainable convolutional neural network (CNN) classifier, DeepClassPathway, that predicts H...
Deep Learning Humans Papillomavirus Infections Neural Networks, Computer Squamous Cell Carcinoma of Head and Neck Male Head and Neck Neoplasms
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