Latest AI and machine learning research in oncology/hematology for healthcare professionals.
BACKGROUND AND PURPOSE: Intracranial hemorrhage (ICH) in leukemia patients progresses rapidly with h...
Histopathological assessment of esophageal biopsies is a key part in the management of patients with...
BACKGROUND: Despite the availability of established surgical and chemotherapy options, the treatment...
OBJECTIVES: Upper tract urothelial carcinoma (UTUC) is a rare, aggressive lesion, with early detecti...
BACKGROUND: Skin tumors affect many people worldwide, and surgery is the first treatment choice. Ach...
INTRODUCTION: The global burden of multiple myeloma (MM) is increasing every year. Here, we have dev...
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...
Skin cancer has a significant impact on the lives of many individuals annually and is recognized as ...
Gastrointestinal stromal tumors (GISTs) are a rare type of tumor that can develop liver metastasis (...
BACKGROUND: Artificial intelligence (AI) chatbots have become a major source of general and medical ...
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 ...
PURPOSE: This study aims to evaluate the clinical performance of a deep learning (DL)-enhanced two-f...
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...