AIMC Topic: Papillomavirus Infections

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Scrutinizing high-risk patients from ASC-US cytology via a deep learning model.

Cancer cytopathology Mar 15, 2022
BACKGROUND: Atypical squamous cells of undetermined significance (ASC-US) is the most frequent but ambiguous abnormal Papanicolaou (Pap) interpretation and is generally triaged by high-risk human papillomavirus (hrHPV) testing before colposcopy. This...
Humans Vaginal Smears Papillomavirus Infections Papillomaviridae Colposcopy Atypical Squamous Cells of the Cervix Artificial Intelligence Pregnancy Female Uterine Cervical Neoplasms Deep Learning
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Deep learning based cervical screening by the cross-modal integration of colposcopy, cytology, and HPV test.

International journal of medical informatics Dec 28, 2021
PURPOSE: To develop and evaluate the colposcopy based deep learning model using all kinds of cervical images for cervical screening, and investigate the synergetic benefits of the colposcopy, the cytology test, and the HPV test for improving cervical...
Sensitivity and Specificity Uterine Cervical Neoplasms Deep Learning Papillomavirus Infections Mass Screening Cervix Uteri Early Detection of Cancer Humans Uterine Cervical Dysplasia Pregnancy Colposcopy Female
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Machine learning prediction of antiviral-HPV protein interactions for anti-HPV pharmacotherapy.

Scientific reports Dec 21, 2021
Persistent infection with high-risk types Human Papillomavirus could cause diseases including cervical cancers and oropharyngeal cancers. Nonetheless, so far there is no effective pharmacotherapy for treating the infection from high-risk HPV types, a...
Area Under Curve Bayes Theorem Viral Proteins Papillomaviridae Machine Learning Algorithms Drug Discovery Antiviral Agents Humans Papillomavirus Infections
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Study protocol for a two-site clinical trial to validate a smartphone-based artificial intelligence classifier identifying cervical precancer and cancer in HPV-positive women in Cameroon.

PloS one Dec 16, 2021
INTRODUCTION: Cervical cancer remains a major public health challenge in low- and middle-income countries (LMICs) due to financial and logistical issues. WHO recommendation for cervical cancer screening in LMICs includes HPV testing as primary screen...
Uterine Cervical Dysplasia Papillomaviridae Smartphone Papillomavirus Infections Early Detection of Cancer Clinical Trials as Topic Acetic Acid Humans Artificial Intelligence Prospective Studies Prognosis Female Adult Uterine Cervical Neoplasms Middle Aged Cameroon
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The viral expression and immune status in human cancers and insights into novel biomarkers of immunotherapy.

BMC cancer Nov 5, 2021
BACKGROUND: Viral infections are prevalent in human cancers and they have great diagnostic and theranostic values in clinical practice. Recently, their potential of shaping the tumor immune microenvironment (TIME) has been related to the immunotherap...
Tumor Microenvironment Biomarkers, Tumor Neoplasms Transcriptome RNA-Seq Humans Machine Learning Stomach Neoplasms DNA, Viral Epstein-Barr Virus Infections Herpesvirus 4, Human Mutation Leukocytes Immunotherapy Papillomavirus Infections Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Support Vector Machine Genetic Variation Papillomaviridae High-Throughput Nucleotide Sequencing Oncogenic Viruses Genome, Viral Tumor Virus Infections Kaplan-Meier Estimate
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Cystic cervical lymph nodes of papillary thyroid carcinoma, tuberculosis and human papillomavirus positive oropharyngeal squamous cell carcinoma: utility of deep learning in their differentiation on CT.

American journal of otolaryngology Apr 9, 2021
OBJECTIVES: Cervical lymph nodes with internal cystic changes are seen with several pathologies, including papillary thyroid carcinoma (PTC), tuberculosis (TB), and HPV-positive oropharyngeal squamous cell carcinoma (HPV+OPSCC). Differentiating these...
Thyroid Cancer, Papillary Oropharyngeal Neoplasms Male Deep Learning Thyroid Neoplasms Papillomavirus Infections Lymph Nodes Squamous Cell Carcinoma of Head and Neck Humans Neck Tomography, X-Ray Computed Diagnosis, Differential Female Tuberculosis Papillomaviridae
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Use of Deep Learning to Analyze Social Media Discussions About the Human Papillomavirus Vaccine.

JAMA network open Nov 2, 2020
IMPORTANCE: Human papillomavirus (HPV) vaccine hesitancy or refusal is common among parents of adolescents. An understanding of public perceptions from the perspective of behavior change theories can facilitate effective and targeted vaccine promotio...
Social Networking Papillomavirus Vaccines Papillomavirus Infections Health Knowledge, Attitudes, Practice Humans Social Media Retrospective Studies Patient Acceptance of Health Care Deep Learning Surveys and Questionnaires Cohort Studies
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Oropharyngeal squamous cell carcinoma: radiomic machine-learning classifiers from multiparametric MR images for determination of HPV infection status.

Scientific reports Oct 16, 2020
We investigated the ability of machine-learning classifiers on radiomics from pre-treatment multiparametric magnetic resonance imaging (MRI) to accurately predict human papillomavirus (HPV) status in patients with oropharyngeal squamous cell carcinom...
ROC Curve Computational Biology Papillomavirus Infections Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Regression Analysis Area Under Curve Aged Humans Aged, 80 and over Machine Learning Adult Retrospective Studies Male Papillomaviridae Female Middle Aged Oropharyngeal Neoplasms Multiparametric Magnetic Resonance Imaging
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Artificial intelligence-assisted cytology for detection of cervical intraepithelial neoplasia or invasive cancer: A multicenter, clinical-based, observational study.

Gynecologic oncology Aug 16, 2020
OBJECTIVE: Artificial intelligence (AI) could automatedly detect abnormalities in digital cytological images, however, the effect in cervical cancer screening is inconclusive. We aim to evaluate the performance of AI-assisted cytology for the detecti...
Colposcopy Middle Aged Triage Severity of Illness Index Biopsy Humans Deep Learning Datasets as Topic Papillomavirus Infections Image Processing, Computer-Assisted Uterine Cervical Dysplasia Cervix Uteri Female Vaginal Smears Papillomaviridae Early Detection of Cancer Adult Uterine Cervical Neoplasms Neoplasm Invasiveness Predictive Value of Tests
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The application of deep learning based diagnostic system to cervical squamous intraepithelial lesions recognition in colposcopy images.

Scientific reports Jul 15, 2020
Background Deep learning has presented considerable potential and is gaining more importance in computer assisted diagnosis. As the gold standard for pathologically diagnosing cervical intraepithelial lesions and invasive cervical cancer, colposcopy-...
Squamous Intraepithelial Lesions Cervix Uteri Early Detection of Cancer Uterine Cervical Neoplasms Humans Image Interpretation, Computer-Assisted Middle Aged Models, Statistical Retrospective Studies Datasets as Topic Deep Learning Female Uterine Cervical Dysplasia Neoplasm Grading Vaginal Smears Adult Biopsy Papillomaviridae Papillomavirus Infections Colposcopy
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