Tag: radiomics

For women with early-stage cervical cancer, surgery is often just the beginning of treatment. Many patients with stage IB to ...

AI Model Combines DBT and Ultrasound Radiomics to Distinguish Benign from Malignant Breast Lesions

Every year, millions of women undergo breast imaging that reveals a finding of uncertain significance—a shadow on a mammogram, a ...

MRI Radiomics Model Predicts IL13Rα2 Expression and Survival in Glioblastoma

Glioblastoma remains one of the most formidable opponents in modern oncology. This aggressive brain tumor, classified by the World Health ...

AI Reads Routine CT Scans to Predict Bladder Cancer HER2 Status Without a Biopsy

A machine learning model applied to routine CT urography scans can non-invasively predict HER2 status in bladder cancer, potentially guiding ...

Fractal Math Meets Mammography: Simple AI Hits 98.7% Accuracy in Breast Cancer Detection

A new stochastic fractal search-based framework pairs nature-inspired optimization with a lightweight k-nearest neighbor classifier to classify mammographic lesions with ...

AI Reads the Whole Lung to Predict Which Cancer Patients Will Benefit From Immunotherapy

Researchers developed a whole-lung radiomics AI model that predicts which lung cancer patients will achieve complete pathological response to neoadjuvant ...

AI Reads Lung CT Scans to Predict Drug Resistance Before Treatment Begins

A Chinese research team combined delta-radiomics from CT scans with clinical data and SHAP-based machine learning interpretation to predict the ...

AI Reads Liver Scans to Predict Which Colorectal Cancer Patients Will Respond to Chemotherapy

Researchers in China have developed an interpretable machine learning model that analyzes all liver metastases on contrast-enhanced CT scans to ...

Habitat Imaging Analysis Shows Promise for Head and Neck Cancer Care, Systematic Review Finds

A systematic review of 25 studies finds that habitat imaging analysis reliably predicts pathological biomarkers, tumour characterisation and nodal status ...

AI Reads CT Scans to Predict Bladder Cancer Recurrence Before It Happens

Researchers in China have built an explainable deep learning model that analyzes contrast-enhanced CT scans to predict whether non-muscle-invasive bladder ...

Ridge-Cox beats Lasso-Cox and deep learning in landmark radiomics survival benchmark

A comprehensive Heliyon benchmark of 16 survival prediction methods and 12 feature engineering strategies across three radiomic datasets finds that ...

AI Reads Hidden Brain Injury in Newborns When MRI Looks Normal

A clinical-radiomics machine learning model can detect hypoxic-ischemic encephalopathy in term newborns whose conventional MRI scans appear visually normal, achieving ...

AI Framework Reads Lung Tumors With Unusual Precision on CT Scans

A new AI framework called BAMR-HF combines boundary-aware segmentation, radiomic–deep feature fusion, and contextual modeling to segment and classify lung ...

CT Scans Reveal Hidden Tumour Chaos That May Signal KRAS Mutations in Lung Cancer

A CT-based measure of spatial intratumoural heterogeneity is strongly associated with KRAS mutation status in lung adenocarcinoma, but a rigorous ...

AI Reads Liver Scans to Tell Hepatitis B Cirrhosis Apart from Schistosomiasis

A multicenter Chinese study shows that a machine-learning radiomics model built from routine non-contrast CT scans, combined with clinical features, ...

AI Reads Plain CT Scans to Tell Benign Lung Nodule from Early Cancer