Latest AI and machine learning research in other cancers for healthcare professionals.
Transarterial chemoembolization (TACE) represent the standard of therapy for non-operative hepatocel...
Skin cancer (SC) significantly impacts many individuals' health all over the globe. Hence, it is imp...
BACKGROUND: Prostate cancer (PCa) is the second leading cause of tumor-related mortality in men. Met...
PURPOSE: PANoptosis is considered a novel type of cell death that plays important roles in tumor pro...
PURPOSE: This study was designed to investigate the prognostic significance of artificial intelligen...
This study aimed to establish a machine learning (ML) model for predicting hepatic metastasis in eso...
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a prevalent and debilitating respiratory...
Monocytes are pivotal immune cells in eliciting specific immune responses and can exert a significan...
BACKGROUND AND AIM: Hepatocellular carcinoma (HCC) diagnosis mainly relies on its pathognomonic radi...
Major depressive disorder (MDD) is the leading cause of disability worldwide, yet treatment selectio...
BACKGROUND: Enhancing Local Control (LC) of brain metastases is pivotal for improving overall surviv...
Mitophagy serves as a critical mechanism for tumor cell death, significantly impacting the progressi...
Artificial intelligence (AI) has evolved to become a significant force in various domains, including...
Despite the remarkable advances in cancer diagnosis, treatment, and management over the past decade,...
Gastric cancer remains a formidable health challenge worldwide; early detection and effective surgic...
Several studies have emphasised how positive and negative human papillomavirus (HPV+  and HPV-, resp...
BACKGROUND: Treatment with atezolizumab and bevacizumab has become standard of care for advanced unr...
Automated sleep staging is essential to assess sleep quality and treat sleep disorders, so the issue...
BACKGROUND: To establish and validate a machine learning model using pretreatment multiparametric ma...
OBJECTIVES: This study was designed to explore and validate the value of different machine learning ...
Two significant obstacles hinder the advancement of Radiology AI. The first is the challenge of over...