Latest AI and machine learning research in other cancers for healthcare professionals.
Non-small cell lung cancer (NSCLC) constitutes a significant portion of lung cancers and cytotoxic d...
BACKGROUND AND PURPOSE: Feature variability in radiomics studies due to technical and magnet strengt...
INTRODUCTION: This study aims to use machine learning to conduct in-depth analysis of key factors af...
Dysregulated super-enhancer (SE) results in aberrant transcription that drives cancer initiation and...
INTRODUCTION: The low sensitivity of alpha-fetoprotein (AFP) renders it unsuitable as a stand-alone ...
OBJECTIVE: The incidence of non-melanoma skin cancers, encompassing basal cell carcinoma (BCC) and c...
BACKGROUND: Nonadherence to imatinib is common in patients with gastrointestinal stromal tumor (GIST...
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 ...
OBJECTIVES: Brain tumor detection, classification and segmentation are challenging due to the hetero...
PURPOSE: Mucinous breast carcinoma (MBC) tends to be misdiagnosed as fibroadenomas (FA) due to its b...
In breast carcinoma, invasive ductal carcinoma (IDC) is the most common histopathologic subtype, and...
The effectiveness of ultrasonography (USG) in liver cancer screening is partly constrained by the op...
To meet the needs of automated medical analysis of brain tumor magnetic resonance imaging, this stud...
Gleason grade group (GG) is the most powerful prognostic variable in localized prostate cancer; howe...
CONTEXT: Prognostication challenges contribute to delays in advance care planning (ACP) for patients...
BACKGROUND: Deep learning is the primary method for conducting automated analysis of SPECT bone scin...
BACKGROUND: Patients may undergo anatomical changes during radiotherapy, leading to an underdosing o...