Tag: predictive medicine

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

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

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

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

A LightGBM-based machine learning model predicts 28-day mortality in critically ill colorectal cancer patients, achieving strong internal performance while exposing ...

A multicenter machine learning study of 3,000 appendicitis patients shows that routine blood indices and ultrasound signs of barrier failure ...

A leakage-controlled multimodal AI model combining PET/CT radiomics, deep-learning features, metabolic parameters and blood-based indices achieved moderate preoperative prediction of ...

A scholarly exchange in Pediatric Radiology over a deep learning model for detecting neonatal pneumothorax highlights the gap between overall ...

An XGBoost artificial intelligence model trained on Swedish neurointensive care data has successfully predicted dangerous intracranial pressure surges in traumatic ...

A new deep learning radiomics model built on preoperative multiparametric MRI achieved AUCs up to 0.95 in predicting three-year breast ...

Researchers in China have developed and validated a ten-variable nomogram that predicts postoperative lymphedema risk in breast cancer patients with ...

A dual-center study shows that a deep learning radiomics model applied to routine mammograms can noninvasively predict HER2-positive and HER2-low ...

A retrospective cohort study of 559 injured children at a Level I trauma center finds that a combined model integrating ...

Researchers in Guangzhou have developed and externally validated a seven-variable nomogram that predicts one-, three-, and five-year risk of LDL-C ...

Researchers trained seven machine-learning models on structured ECG reports from more than 11,000 hospitalized children and found that the reports ...

A two-center study trained a deep learning radiomics model on routine breast ultrasound images to predict sentinel lymph node metastasis ...

A machine learning model combining serum thermal fingerprints from differential scanning calorimetry with clinical variables achieved an AUC of 0.85 ...

A Swedish study of 133 patients shows that FDG-PET/CT response assessment after chemoradiotherapy strongly predicts recurrence and overall survival in ...

A new systematic review of 28 studies finds that deep learning detects vulnerable carotid plaques with a pooled AUC of ...

A new meta-analysis of eleven studies finds that AI-driven analysis of routine contrast-enhanced CT scans can predict the Ki-67 proliferation ...