Other Cancers

Radiomics and artificial intelligence in pancreatic cyst characterization: future or fiction?

Pancreatic cystic lesions (PCLs) are increasingly detected due to the widespread use of cross-sectio...

An explainable clinical-radiomics machine learning model for preoperative prediction of WHO/ISUP nuclear grade in clear cell renal cell carcinoma.

BACKGROUND: Accurate preoperative assessment of the WHO/ISUP nuclear grade of clear cell renal cell ...

Evaluating the Utility and Limitations of Machine Learning Tumor Segmentation for Automated Longitudinal RANO Treatment Response Classification.

PURPOSE: Machine learning segmentation has emerged in tumor assessment with high performance in volu...

Construction of an XGBoost-SHAP-based malignant transformation risk prediction model for gallbladder polyps.

BACKGROUND: To develop and validate a risk prediction model for malignant transformation in patients...

Machine learning-based identification of key genes underlying sex differences in hepatocellular carcinoma and targeted drug screening.

Hepatocellular carcinoma (HCC) shows a marked predominance in men, yet the molecular basis for this ...

Prediction of trajectories and outcomes in early-stage metabolic dysfunction-associated steatotic liver disease: a narrative review.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent chronic liver...

Artificial Intelligence in Colonoscopy Surveillance for Lynch Syndrome: Emerging Evidence, Lessons Learned From Average-Risk Populations, and Future Directions.

Lynch syndrome (LS) is the most common hereditary colorectal cancer (CRC) syndrome and is characteri...

Identification of PANoptosis-Related Biomarkers in Head and Neck Squamous Cell Carcinoma.

BACKGROUND: The early detection and diagnosis of head and neck squamous cell carcinoma (HNSCC) pose ...

Toward clinical value, not just accuracy: deep learning segmentation of soft tissue sarcoma.

Artificial intelligence enhances cancer cell selection for HER2 gene amplification assessment in breast carcinoma.

The evaluation of HER2 gene amplification is a time-consuming process that requires quantifying a la...

Enhanced ResU-Net for brain tumor segmentation using EfficientNetB0, Channel Attention, and ASPP.

Accurate and efficient segmentation of brain tumors is critical for diagnosis, treatment planning, a...

Deep learning-based multimodal radiopathomics for preoperative prediction of lymph node metastasis in papillary thyroid carcinoma.

Papillary thyroid carcinoma (PTC) exhibits a high incidence and a strong propensity for lymph node m...

Gene-level gut microbiome signatures as predictive biomarkers for response to immune checkpoint inhibitors across multiple cancer types.

Targeting programmed cell death protein 1 (PD-1) and cytotoxic T-lymphocyte-associated protein 4 (CT...

Development and Validation of an Interpretable Machine Learning Model for Predicting Distant Metastasis in Tongue Squamous Cell Carcinoma: A Multicentre Study.

INTRODUCTION AND AIMS: Distant metastasis (DM) in tongue squamous cell carcinoma is associated with ...

DNA methylation-based classification of hematolymphoid neoplasms.

Accurate pathological diagnosis of hematolymphoid neoplasms (HLN) is often challenging due to their ...

Machine learning identifies prognosticators of intracranial metastatic disease in patients with breast or lung cancer.

BACKGROUND: Intracranial metastatic disease is a severe complication of cancer that confers substant...

Using tree-based ensemble methods to produce a population-based mortality risk score in Ontario, Canada.

INTRODUCTION: Risk adjustment is critical in observational epidemiology to control for confounding o...

Neural network architectures and normalization techniques for automated sleep stage classification using rodent EEG and EMG signals.

Accurate sleep stage classification in animal models is crucial for translational sleep research, en...

Robust validation of neuroimaging and clinical models via the SAR method: A case study based on the ADNI dataset.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decl...

Precision nutrition in breast cancer: Towards patient- and tumour-informed dietary strategies.

Dietary strategies are increasingly recognized as important modulators of breast cancer outcomes, ac...

Predicting amyotrophic lateral sclerosis stage based on multi-parameter ultrasound: development and validation of an interpretable machine learning model.

BACKGROUND: Amyotrophic lateral sclerosis (ALS) lacks sensitive, objective staging tools to guide cl...