Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Accurate assessment of lymph node metastasis (LNM) is critical for prognostic stratification and tre...
Patients with resected pancreatic ductal adenocarcinoma (PDAC) can have different outcomes despite s...
Breast cancer continues to be a major threat to women's health on a global scale. Innovative treatme...
Accurate detection and classification of pulmonary diseases in sheep are critical for ensuring anima...
OBJECTIVE: To evaluate the utility of multimodal imaging biomarkers in papillary thyroid carcinoma (...
Hybrid molecular imaging is increasingly recognized as a valuable tool for the precision management ...
Allostatic load (AL), a composite measure of multisystem dysregulation associated with chronic stres...
Lung adenocarcinoma (LUAD) is one of the most common malignancies worldwide. However, patients exhib...
BACKGROUND: Distinct treatment strategies for small-cell lung cancer (SCLC) and non-small-cell lung ...
Artificial intelligence (AI) is increasingly being applied across neuro-oncology domains to analyze ...
PURPOSE: Accurate intraoperative assessment of radiofrequency ablation (RFA) margins in hepatic mali...
PURPOSE: To evaluate whether pretreatment CT radiomics adds information for overall survival (OS) pr...
OBJECTIVE: Ensuring CT feature reproducibility across imaging protocols and reconstruction algorithm...
Identifying cancer driver genes and their therapeutic impact remains a core challenge in computation...
BACKGROUND: Although effective, current chimeric antigen receptor T-cell (CAR-T) production methods-...
BACKGROUND: Cervical nodal metastasis remains one of the strongest determinants of treatment plannin...
OBJECTIVE: Colorectal cancer (CRC) is molecularly, cellularly and spatially heterogeneous, and curre...
BACKGROUND: Cardiogenic shock (CS) exhibits marked clinical heterogeneity, limiting the performance ...
Pulmonary nodules are increasingly detected by thoracic imaging and low-dose computed tomography-bas...
The rapid expansion of medical data, including radiological imaging, digital pathology, molecular pr...
Deep learning models have been proposed for automated pressure injury staging, but reliability acros...