Oncology/Hematology

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...

Image Quality Assessment of the External Carotid Artery and Its Branches on Ultra-High-Resolution Head and Neck Computed Tomography Angiography Using a High-Resolution 0.25-mm Detector and Deep Learning Reconstruction.

BACKGROUND AND PURPOSE: Deep learning reconstruction can improve image quality of CTA, but its benef...

S2A-RConvNet: standalone self-attention enabled deep learning model for brain tumor classification with MRI images.

Globally, the main factor that contributes to increasing the mortality rate among people is the deve...

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...

Artificial intelligence-based reclassification of gastric adenocarcinoma enables prognostic stratification via diffuse-type patch proportion.

BACKGROUND: Gastric adenocarcinoma (GAC) remains a major global health burden with marked heterogene...

Artificial Intelligence for histopathological diagnosis and grading of breast cancer in Ethiopia.

BACKGROUND: Recent advances in computational pathology enables AI-assisted diagnosis and risk strati...

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 ...

Tech That Scales: A Practical Framework for Artificial Intelligence-Enabled Cancer Care in Low- and Middle-Income Countries and Underserved US Counties.

Cancer outcomes remain starkly unequal: 5-year survival rates for common malignancies in low- and mi...

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...

Metabolomic analysis for diagnosis of oral squamous cell carcinoma using machine learning.

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...

Three-dimensional oxygen maps of tumors in real time - Analysis in the context of active tumor vasculature.

BACKGROUND AND OBJECTIVE: Characterizing the tumor microenvironment (TME) requires integrating multi...

3D vessel reconstruction from sparse-view dynamic DSA images via vessel probability guided attenuation learning.

Digital Subtraction Angiography (DSA) is one of the gold standards for vascular disease diagnosis. W...

Multidimensional transcriptomic analysis and in vitro experiments dissect the landscape of 2',2',4',4'-Tetrabromodiphenyl ether in bladder cancer progression.

2',2',4',4'-Tetrabromodiphenyl ether (BDE-47), the most widespread congener of polybrominated diphen...