AI Medical Compendium Journal:
Frontiers in oncology

Showing 41 to 50 of 74 articles

Predicting cervical intraepithelial neoplasia and determining the follow-up period in high-risk human papillomavirus patients.

Frontiers in oncology
PURPOSE: Despite strong efforts to promote human papillomavirus (HPV) vaccine and cervical cancer screening, cervical cancer remains a threat to women's reproductive health. Some high-risk HPV types play a crucial role in the progression of cervical ...

Machine learning-based CT texture analysis in the differentiation of testicular masses.

Frontiers in oncology
PURPOSE: To evaluate the ability of texture features for distinguishing between benign and malignant testicular masses, and furthermore, for identifying primary testicular lymphoma in malignant tumors and identifying seminoma in testicular germ cell ...

Radiomic nomogram for discriminating parotid pleomorphic adenoma from parotid adenolymphoma based on grayscale ultrasonography.

Frontiers in oncology
OBJECTIVES: To differentiate parotid pleomorphic adenoma (PA) from adenolymphoma (AL) using radiomics of grayscale ultrasonography in combination with clinical features.

Deep-learning models for image-based gynecological cancer diagnosis: a systematic review and meta- analysis.

Frontiers in oncology
INTRODUCTION: Gynecological cancers pose a significant threat to women worldwide, especially those in resource-limited settings. Human analysis of images remains the primary method of diagnosis, but it can be inconsistent and inaccurate. Deep learnin...

Predicting delayed remission in Cushing's disease using radiomics models: a multi-center study.

Frontiers in oncology
PURPOSE: No multi-center radiomics models have been built to predict delayed remission (DR) after transsphenoidal surgery (TSS) in Cushing's disease (CD). The present study aims to build clinical and radiomics models based on data from three centers ...

Management and outcomes of brain metastases from pancreatic adenocarcinoma: a pooled analysis and literature review.

Frontiers in oncology
BACKGROUND: Brain metastases (BM) are rare in pancreatic ductal adenocarcinoma (PDAC) and little data exists concerning these patients and their outcomes.

Establishment of a pathomic-based machine learning model to predict CD276 (B7-H3) expression in colon cancer.

Frontiers in oncology
CD276 is a promising prognostic indicator and an attractive therapeutic target in various malignancies. However, current methods for CD276 detection are time-consuming and expensive, limiting extensive studies and applications of CD276. We aimed to d...

Prospective deployment of an automated implementation solution for artificial intelligence translation to clinical radiation oncology.

Frontiers in oncology
INTRODUCTION: Artificial intelligence (AI)-based technologies embody countless solutions in radiation oncology, yet translation of AI-assisted software tools to actual clinical environments remains unrealized. We present the Deep Learning On-Demand A...

Leveraging technology-driven strategies to untangle omics big data: circumventing roadblocks in clinical facets of oral cancer.

Frontiers in oncology
Oral cancer is one of the 19most rapidly progressing cancers associated with significant mortality, owing to its extreme degree of invasiveness and aggressive inclination. The early occurrences of this cancer can be clinically deceiving leading to a ...