The review demonstrated a rise in publications related to AI/machine learning cancer pain research, with 1 article published between 2006 and 2009 and 26 published between 2020 and 2023.

Training, Validating, and Testing Machine Learning Prediction Models for Endometrial Cancer Recurrence. JCO Precis Oncol 9 , e2400859 (2025). DOI: 10.1200/PO-24-00859 ...

In the past decade, there has been an explosion in the number of diagnostic machine learning (ML) models developed for precision oncology, with the promise of delivering increasingly accurate ...

Weill Cancer Hub West will harness genomics, big data, AI, and machine learning to counter California’s 20 new cancer cases ...

New research presented during the 2024 San Antonio Breast Cancer Symposium (SABCS) reveals a new machine learning model that could change the way metastatic breast cancer is treated in the future. By ...

In recent years, the integration of machine learning into healthcare has revolutionized patient care, particularly in predicting therapeutic outcomes for cancer patients. Many institutions are now ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin ...

Discover a study validating the TRIUMPH machine learning model, which improves prediction of post-transplant recurrence in ...

Researchers employed a machine learning technique known as random forest analysis and found that it significantly outperformed traditional methods in predicting which hospitalized patients with ...