Latest AI and machine learning research in oncology/hematology for healthcare professionals.
PURPOSE: Volumetric-modulated arc therapy (VMAT) treatment planning allows a compromise between a su...
Microsatellite instability is a strong predictor of response to immune checkpoint therapy and patien...
PURPOSE: This work presents a novel multimodal imaging platform that integrates hyperspectral imagin...
The cell cycle governs the proliferation of all eukaryotic cells. Profiling cell cycle dynamics is t...
Lung adenocarcinoma (LUAD) constitutes a major cause of cancer-related fatalities worldwide. Early i...
BACKGROUND: Psychological distress is prevalent among newly diagnosed cancer patients, often exacerb...
BACKGROUND: Early prediction of treatment response to neoadjuvant therapy (NAT) in breast cancer pat...
Cervical cancer is a significant global health issue affecting women worldwide, necessitating prompt...
Low-dose PET offers a valuable means of minimizing radiation exposure in PET imaging. However, the p...
Underrepresented groups (URGs) in the United States, including African Americans, Latino/Hispanic Am...
BACKGROUND: Lung adenocarcinoma (LUAD) is marked by its considerable aggressiveness and pronounced h...
AIM: To develop a positron emission tomography/computed tomography (PET/CT)-based radiomics model fo...
PURPOSE: Stereotactic magnetic resonance guided adaptive radiation therapy (SMART) is a new option f...
The integration of artificial intelligence (AI) into medical diagnostics is transforming the landsca...
INTRODUCTION: Membranous nephropathy is an autoimmune kidney disease and the most common cause of ne...
OBJECTIVE: This study evaluates the impact of deep learning-enhanced T1-weighted VIBE sequences (DL-...
Lymph node metastasis is a critical factor for determining therapeutic strategies and assessing the ...
The early detection of brain tumors is very important for treating them and improving the quality of...
BACKGROUND: Unlike lung adenocarcinoma, patients with advanced squamous carcinoma exhibit a low prop...
ObjectiveStudy aims to develop diagnostic and prognostic models for lung adenocarcinoma (LUAD) using...
BACKGROUND: Individualized treatment decisions for multiple myeloma (MM) patients require accurate r...