Latest AI and machine learning research in other cancers for healthcare professionals.
BACKGROUND AND AIMS: Palliative care in the Eastern Mediterranean Region (EMR) faces challenges desp...
The widespread prevalence of sleep problems in children highlights the importance of timely and accu...
BACKGROUND: Tumor Mutational Burden (TMB) have emerged as pivotal predictive biomarkers in determini...
Lung squamous cell carcinoma (LUSC), a subtype of non-small cell lung cancer, represents a significa...
BACKGROUND: Cognitive fusion MRI-guided targeted biopsy (cTB) has been widely used in the diagnosis ...
OBJECTIVES: This study aimed to develop nomograms for predicting post-hepatectomy liver failure (PHL...
BACKGROUND: To develop an artificial intelligence (AI)-based model using Radiomics, deep learning (D...
Anoikis-related genes (ANRGs) are crucial in the invasion and metastasis of breast cancer (BC). The...
INTRODUCTION: Head and neck cancers are the seventh most common globally, with lymph node metastasis...
There are few analyses comparing complete nephrectomy with resection of the renal parenchyma only (C...
OBJECTIVE: To evaluate the diagnostic performance of Machine Learning (ML) and Deep Learning (DL) mo...
Pancreatic cancer remains one of the most lethal cancers, primarily due to its late diagnosis and li...
Cellular deconvolution via bulk RNA sequencing (RNA-seq) presents a cost-effective and efficient alt...
Immunotherapy has ushered in a new era of cancer treatment, yet cancer remains a leading cause of gl...
In this study, we aimed to investigate disparities in the tumor immune microenvironment (TME) betwee...
PURPOSE: In Taiwan, the incidence of urothelial carcinoma of the upper urinary tract (UTUC) is high ...
This study investigates the efficacy of predicting age-related macular degeneration (AMD) activity t...
Accurate and rapid screening of adenocarcinoma cells in serous cavity effusion is vital in diagnosin...
The digitization of health records and growing availability of tumour DNA sequencing provide an oppo...
This study aimed to construct and assess a machine-learning algorithm designed to forecast survival ...
Reporting of diagnostic nuclear images in clinical cancer management is generally qualitative. Thera...