AIMC Topic: Uterine Cervical Neoplasms

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Development and validation of the risk stratification based on deep learning and radiomics to predict survival of advanced cervical cancer.

Scientific reports
Advanced cervical cancer (aCC) is associated with a poor prognosis. This study aimed to develop and validate a deep learning-based risk stratification model to predict overall survival in aCC patients using pre-treatment CT images. A total of 396 pat...

Prognostic value of combining nutritional inflammatory index trajectories and tumor characteristics in cervical cancer.

BMC women's health
OBJECTIVE: This investigation seeks to examine how varying longitudinal patterns in nutritional inflammatory index (NII) correlate with clinical outcomes in cervical cancer patients, while developing predictive models for prognosis.

Explainable AI based cervical cancer prediction using FSAE feature engineering and H2O AutoML.

Scientific reports
Cervical cancer, predominantly caused by Human Papillomavirus (HPV) infection, remains a significant global health burden for women, contributing to elevated morbidity and mortality rates. Early and accurate prediction is critical in improving patien...

Machine learning-based screening and validation of pyroptosis-associated prognostic genes and potential drugs in cervical cancer.

BMC medical genomics
Pyroptosis is a newly discovered form of programmed cell death, but its mechanism in the development of cervical cancer has not been elucidated. Cervical cancer differentially expressed pyroptosis-related genes were identified via bioinformatic analy...

A hybrid vision transformer with ensemble CNN framework for cervical cancer diagnosis.

BMC medical informatics and decision making
Cervical cancer is the leading cause of cancer-related deaths among women worldwide, necessitating early and accurate detection methods. This study introduces a hybrid framework utilizing Vision Transformers (ViT) and ensemble learning-based convolut...

Revolutionizing cervical cancer care: the synergistic effects of hyperthermia and machine learning.

International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group
OBJECTIVE: This study aimed to examine the impact of hyperthermia in conjunction with concurrent chemoradiotherapy (CCRT) on peripheral immune markers in patients with locally advanced cervical cancer (LACC). Additionally, we sought to predict the as...

Cervical cancer prediction using deformable kernel darknet-53 and depth wise separable convolutional neural networks.

Scientific reports
The prediction of Cervical Cancer (CC) remains a tough task due to diverse clinical variations and unbalanced data distribution, while good-quality data remains limited. Early CC signs tend to lack distinct characteristics, which makes their precise ...

Advancements in fusion-based deep representation learning for enhanced cervical precancerous lesion classification using biomedical image analysis.

Scientific reports
One such prevalent kind of cancer among women is cervical cancer (CC). Fatality rates and incidence are progressively increasing, mainly in developing countries, due to a lack of experienced specialists, inadequate public awareness, and limited scree...

Cervical cancer diagnostics: non-coding RNAs and biosensors to AI-derived methods.

Clinica chimica acta; international journal of clinical chemistry
Cervical cancer ranks fourth in terms of cancer mortality among women. The most important risk factor for cervical cancer is infection with HPV 16 and HPV 18. The prevalence and mortality rates of this cancer are much higher in countries with low and...

Predicting hematologic toxicity in advanced cervical cancer patients using interpretable machine learning models based on radiomics and dosimetrics.

BMC cancer
BACKGROUND AND OBJECTIVES: Hematologic toxicity (HT) is a common and serious side effect for advanced cervical cancer patients undergoing chemoradiotherapy. Accurately predicting HT can significantly improve patient management and treatment outcomes....