Latest AI and machine learning research in other cancers for healthcare professionals.
BACKGROUND: Skin tumors affect many people worldwide, and surgery is the first treatment choice. Ach...
OBJECTIVE: To establish a predictive model for prostate cancer bone metastasis utilizing multiple ma...
Liver fibrosis is a pathological condition characterized by the abnormal proliferation of liver tiss...
To construct a prediction model of olfactory dysfunction after transnasal sellar pituitary tumor res...
Breast cancer remains a critical global concern, underscoring the urgent need for early detection an...
Gastrointestinal stromal tumors (GISTs) are a rare type of tumor that can develop liver metastasis (...
To evaluate the feasibility of using a deep learning dose prediction approach to identify patients w...
The most common and aggressive tumor is brain malignancy, which has a short life span in the fourth ...
OBJECTIVE: This study seeks to construct a machine learning model that merges clinical characteristi...
The retroperitoneal liposarcoma (RLPS) is a rare malignancy whose only curative therapy is surgical ...
The functions of immunosenescence are closely related to skin cutaneous melanoma (SKCM). The aim of ...
Tumor heterogeneity is a primary factor that contributes to treatment failure. Predictive tools, cap...
This review article critically examines the pivotal role of chromatin organization in gene regulatio...
Cancer immunotherapy has witnessed rapid advancement in recent years, with a particular focus on neo...
BACKGROUND AND OBJECTIVE: Hepatocellular carcinoma is a common disease with high mortality. Through ...
BACKGROUND: Robust and practical prognosis prediction models for hepatocellular carcinoma (HCC) pati...
BACKGROUND: The different tumor appearance of head and neck cancer across imaging modalities, scanne...
BACKGROUND: The increasing volume and intricacy of sequencing data, along with other clinical and di...
BACKGROUND: Psoriasis extends beyond its dermatological inflammatory manifestations, encompassing sy...
INTRODUCTION: This study aimed to develop a prognostic nomogram for predicting the recurrence-free s...
RATIONALE AND OBJECTIVES: We examined the effectiveness of computed tomography (CT)-based deep learn...