Latest AI and machine learning research in oncology/hematology for healthcare professionals.
BACKGROUND: The objective of this study was to evaluate whether deep learning radiomic (DLR) models ...
This Tutorial aims to help users analyze molecular dynamics (MD) simulation trajectories while requi...
INTRODUCTION: Breast cancer remains a major global health burden, underscoring the urgent need for r...
BACKGROUND: Accurate delineation of target volumes and organs at risk (OAR) is essential in radiothe...
BACKGROUND: Positron emission tomography with magnetic resonance imaging (PET/MRI) provides noninvas...
BACKGROUND: The transition from ductal carcinoma in situ (DCIS) to invasive ductal carcinoma (IDC) i...
Uveal melanoma is the most frequent primary intraocular malignancy in adults and is characterized by...
BACKGROUND: High-risk subsolid pulmonary nodules, especially mixed ground-glass nodules, can represe...
Gastric cancer (GC) shows strong biological heterogeneity and frequent disruption of inflammatory an...
BACKGROUND: Current risk stratification for oral tongue squamous cell carcinoma (OTSCC) has limited ...
OBJECTIVE: This study aimed to develop the Radiomics-Assembled ENE system (RAIEm), a multimodal preo...
PURPOSE: To compare the image quality of diffusion-weighted imaging (DWI) between deep learning reco...
OBJECTIVES: This systematic review evaluates the available evidence on the efficacy of commercially ...
OBJECTIVE: To elucidate the therapeutic potential and mechanisms of Fuzi (Aconiti Lateralis Radix Pr...
PURPOSE OF REVIEW: Gastrointestinal (GI) cancers are among the most common malignancies worldwide an...
BACKGROUND: Chronic inflammation is implicated in lung cancer pathogenesis. Inflammation-related hae...
BACKGROUND: Leukemia is an aggressive hematological malignancy. Effective differentiation-inducing a...
Centromere-associated genes are linked to genomic instability and tumor progression, yet their signi...
BACKGROUND: Psychological distress is common among patients with cancer, and it negatively impacts t...
OBJECTIVE: Develop a multimodal fusion model combining MRI radiomics and deep learning (DL) to predi...
OBJECTIVE: To develop and validate a multiparametric MRI-based radiomics model for noninvasive preop...