Tag: Survival prediction

New research in The Journal of Nuclear Medicine explores advancements in imaging and treatment for prostate cancer, liver fibrosis, and ...

A multicenter retrospective study established an internally validated nomogram achieving high predictive accuracy for five-year survival among adult patients with ...

Pretreatment CT-derived body composition parameters improved survival prediction beyond clinical-inflammatory factors in patients with nonmetastatic esophageal squamous cell carcinoma.

Researchers have developed MANTIS, an artificial intelligence model that uses routine DNA methylation profiling to predict individualized survival outcomes and ...

A retrospective study of 178 patients found that integrating the Krenning score with specific laboratory markers improves the accuracy of ...

A study published in BMC Artificial Intelligence evaluates machine learning models for predicting colorectal cancer outcomes in Palestine and globally, ...

A systematic review indicates that adding natriuretic peptides improves chronic heart failure mortality prediction models, though inconsistent reporting and high ...

A study in Brazil developed machine learning models and nomograms to predict breast cancer survival using population-based registry data, with ...

A new AI model predicts individualized ten-year survival for children with medulloblastoma and ependymoma from routine DNA methylation profiling and ...

A retrospective deep learning prototype called XceptionAttnV1 processes multiple data types for oral cavity squamous cell carcinoma but has not ...

A SEER analysis of 21,492 hepatocellular carcinoma patients shows the prognostic impact of AJCC stage wanes over time, with five-year ...

A retrospective cohort study of 90 children with advanced cancer found KPS and PPS most promising for short-term mortality prediction, ...

A systematic review of 43 studies finds that attention-based multimodal deep learning consistently outperforms single-modality approaches across lung cancer diagnostic ...

A gradient boosting machine model built on SEER data from 2,117 patients outperformed TNM staging in predicting survival in bladder ...

In a retrospective I3LUNG study of 2,396 patients, multimodal AI outperformed standard clinical biomarkers for survival-outcome prediction, and AI support ...

University of Cincinnati Cancer Center researchers report that a hybrid statistical and deep learning survival model outperformed comparison models on ...

A retrospective study found that automated CT body-composition markers were associated with overall survival in digestive system cancers but added ...

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

A blood-based epigenetic clock, GrimAge2, significantly improves survival prediction in early-stage non-small cell lung cancer, outperforming traditional risk factors including ...

Researchers in China have built and validated a statistical survival calculator for young patients with upper tract urothelial carcinoma using ...