Machine learning and logistic regression in estimating survival in patients with high-malignant deep-seated soft tissue sarcomas: development and analysis based on a population-based retrospective cohort

Machine Learning Model Shows Promise for Predicting Liver Cancer Risk in Young Adults

A machine learning algorithm predicts early-onset liver cancer in young adults better than traditional models.

<![CDATA[Patient-Reported Outcomes, Machine Learning May Predict Breast Cancer Recurrence Earlier]]>

Correction: A Single-Arm Phase 2 Trial of Doxorubicin Plus Zalifrelimab (Anti–CTLA-4 Antibody) and Balstilimab (Anti–PD-1 Antibody) in Advanced/Metastatic Soft Tissue Sarcomas

In the original version of this article ( 1 ), Supplementary Table S2 was incorrect: Patient 12 was erroneously marked as deceased. Suppleme

<![CDATA[TIP12 Validation of a Multimodal Artificial Intelligence Prognostic Model in Early-Stage HR+/HER2− Breast Cancer]]>

Early ctDNA Stratifies Survival in Locally Advanced and Oligometastatic Lung Cancer Treated with Radiotherapy

Abstract Purpose: Circulating tumor fraction estimate (ctFE) is a machine learning–derived composite metric of circulating tumor DNA (ctDNA)

Advancing Oral Cancer Screening Through Deep Learning Models: A Systematic Review

Objectives: This review aims to critically evaluate current evidence on the application of deep learning in oral cancer screening, with a fo