Latest AI and machine learning research in other cancers for healthcare professionals.
BACKGROUND AND AIMS: Deep learning algorithms gained attention for detection (computer-aided detecti...
Cancer stem cells (CSCs) have the potential to self-renew and induce cancer, which may contribute to...
The purpose of this study was to evaluate the impact of probability map threshold on pleural mesothe...
How to develop contrast agents for cancer theranostics is a meaningful and challenging endeavor, and...
. Approximately 57% of non-small cell lung cancer (NSCLC) patients face a 20% risk of brain metastas...
Renal cell carcinoma (RCC) is the sixth most common cancer in men and is often asymptomatic, leading...
RATIONALE AND OBJECTIVES: Isocitrate dehydrogenase 1 (IDH1) is a potential therapeutic target across...
Soft tissue sarcomas (STS) are a heterogeneous group of rare malignant tumors. Tumor grade might be ...
This narrative review examines the promising potential of integrating artificial intelligence (AI) w...
BACKGROUND: Artificial intelligence (AI)-based tools have shown promise in histopathology image anal...
PURPOSE: This study aimed to evaluate whether an artificial intelligence (AI) system can identify ba...
BACKGROUND: The post-surgical prognosis for Pulmonary Large Cell Neuroendocrine Carcinoma (PLCNEC) p...
BACKGROUND AND PURPOSE: Feature variability in radiomics studies due to technical and magnet strengt...
Non-small cell lung cancer (NSCLC) constitutes a significant portion of lung cancers and cytotoxic d...
Dysregulated super-enhancer (SE) results in aberrant transcription that drives cancer initiation and...
OBJECTIVE: The incidence of non-melanoma skin cancers, encompassing basal cell carcinoma (BCC) and c...
Boron neutron capture therapy (BNCT) is a highly targeted, selective and effective technique to cure...
Brain tumors pose significant global health concerns due to their high mortality rates and limited t...
BACKGROUND: The integration of artificial intelligence (AI), particularly, in oncology, has signific...
Sleep staging plays a critical role in evaluating the quality of sleep. Currently, most studies are ...
AIMS: This study aims to use deep learning (DL) to classify thyroid nodules as benign and malignant ...