AIMC Topic: Papillomavirus Infections
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A comparison of the persuasiveness of human and ChatGPT generated pro-vaccine messages for HPV.
Frontiers in public health
Jan 16, 2025
INTRODUCTION: Public health messaging is crucial for promoting beneficial health outcomes, and the latest advancements in artificial intelligence offer new opportunities in this field. This study aimed to evaluate the effectiveness of ChatGPT-4 in ge...
A lightweight deep learning method to identify different types of cervical cancer.
Scientific reports
Nov 27, 2024
Cervical cancer is the second most common cancer in women's bodies after breast cancer. Cervical cancer develops from dysplasia or cervical intraepithelial neoplasm (CIN), the early stage of the disease, and is characterized by the aberrant growth of...
Application of Machine Learning Algorithms for Risk Stratification and Efficacy Evaluation in Cervical Cancer Screening among the ASCUS/LSIL Population: Evidence from the Korean HPV Cohort Study.
Cancer research and treatment
Sep 6, 2024
PURPOSE: We assessed human papillomavirus (HPV) genotype-based risk stratification and the efficacy of cytology testing for cervical cancer screening in patients with atypical squamous cells of undetermined significance (ASCUS)/low-grade squamous int...
The Relationship Between Metal Exposure and HPV Infection: Evidence from Explainable Machine Learning Methods.
Biological trace element research
Jul 29, 2024
HPV is a ubiquitous pathogen implicated in cervical and other cancers. Although vaccines are available, they do not encompass all subtypes. Meanwhile, metal exposure may elevate the risk of HPV infection and amplify its carcinogenic potential, but st...
Genome composition-based deep learning predicts oncogenic potential of HPVs.
Frontiers in cellular and infection microbiology
Jul 22, 2024
Human papillomaviruses (HPVs) account for more than 30% of cancer cases, with definite identification of the oncogenic role of viral and genes. However, the identification of high-risk HPV genotypes has largely relied on lagged biological explorati...
Development, Validation, and Implementation of an Augmented Multiwell, Multitarget Quantitative PCR for the Analysis of Human Papillomavirus Genotyping through Software Automation, Data Science, and Artificial Intelligence.
The Journal of molecular diagnostics : JMD
Jul 5, 2024
The value of human papillomavirus (HPV) testing for cervical cancer screening is well established; however, its use as a primary screening option or as a reflex test after atypical cytology results is now gaining wider acceptance. The importance of f...
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...
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...
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...
Logistic Models
Margins of Excision
Uterine Cervical Dysplasia
Cryosurgery
Squamous Intraepithelial Lesions
Conization
Squamous Intraepithelial Lesions of the Cervix
Adult
Uterine Cervical Neoplasms
Middle Aged
Papillomavirus Infections
Risk Factors
Aged
Young Adult
Humans
Machine Learning
Retrospective Studies
Female
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...
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