AIMC Topic: Uterine Cervical Neoplasms

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Deep Learning-Enhanced Hand-Driven Microfluidic Chip for Multiplexed Nucleic Acid Detection Based on RPA/CRISPR.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
The early detection of high-risk human papillomavirus (HR-HPV) is crucial for the assessment and improvement of prognosis in cervical cancer. However, existing PCR-based screening methods suffer from inadequate accessibility, which dampens the enthus...

Prediction of clinical stages of cervical cancer via machine learning integrated with clinical features and ultrasound-based radiomics.

Scientific reports
To investigate the prediction of a model constructed by combining machine learning (ML) with clinical features and ultrasound radiomics in the clinical staging of cervical cancer. General clinical and ultrasound data of 227 patients with cervical can...

Integrating SEResNet101 and SE-VGG19 for advanced cervical lesion detection: a step forward in precision oncology.

BMC cancer
BACKGROUND: Cervical cancer remains a significant global health issue, with accurate differentiation between low-grade (LSIL) and high-grade squamous intraepithelial lesions (HSIL) crucial for effective screening and management. Current methods, such...

Cervical cancer screening uptake and its associated factor in Sub-Sharan Africa: a machine learning approach.

BMC medical informatics and decision making
INTRODUCTION: Cervical cancer, which includes squamous cell carcinoma and adenocarcinoma, is a leading cause of cancer-related deaths globally, particularly in low- and middle-income countries (LMICs). It is preventable through early screening, but i...

Bias Detection in Histology Images Using Explainable AI and Image Darkness Assessment.

Studies in health technology and informatics
The study underscores the importance of addressing biases in medical AI models to improve fairness, generalizability, and clinical utility. In this paper, we present a novel framework that combines Explainable AI (XAI) with image darkness assessment ...

Feasibility study of automatic radiotherapy treatment planning for cervical cancer using a large language model.

Radiation oncology (London, England)
BACKGROUND: Radiotherapy treatment planning traditionally involves complex and time-consuming processes, often relying on trial-and-error methods. The emergence of artificial intelligence, particularly Large Language Models (LLMs), surpassing human c...

[A Meta-analysis of the application of artificial intelligence in cervical cytopathology diagnosis].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]
To systematically evaluate the application of artificial intelligence (AI) in cervical cytopathology diagnosis. A systematic search was conducted using the keywords ''cervical cancer'' ''cytology'' ''artificial intelligence'' ''sensitivity'' and ''...

Critical view of safety assessment in sentinel node dissection for endometrial and cervical cancer: artificial intelligence to enhance surgical safety and lymph node detection (LYSE study).

International journal of gynecological cancer : official journal of the International Gynecological Cancer Society
OBJECTIVE: This study aims to evaluate the feasibility of video-based assessment rate of Critical Views of Safety criteria for sentinel lymph node dissection in endometrial and cervical cancer. Goal of these Critical Views of Safety is to help standa...

Detection of precancerous lesions in cervical images of perimenopausal women using U-net deep learning.

African journal of reproductive health
Due to physiological changes during the perimenopausal period, the morphology of cervical cells undergoes certain alterations. Accurate cell image segmentation and lesion identification are of great significance for the early detection of precancerou...

Development of a deep learning-based model to evaluate changes during radiotherapy using cervical cancer digital pathology.

Journal of radiation research
This study aims to create a deep learning-based classification model for cervical cancer biopsy before and during radiotherapy, visualize the results on whole slide images (WSIs), and explore the clinical significance of obtained features. This study...