Latest AI and machine learning research in pathology for healthcare professionals.
PURPOSE: This study aimed to identify the signature genes that mediate the effects of type 2 diabete...
OBJECTIVE: To predict self-care and mobility function at discharge from inpatient rehabilitation for...
INTRODUCTION: Salivary gland tumors (SGTs) comprise a heterogeneous group of neoplasms with diverse ...
BACKGROUND: In pediatric surgical oncology, intraoperative tissue assessment is limited by small spe...
Standard slide-based two-dimensional (2D) histopathology severely undersamples spatially heterogeneo...
OBJECTIVE: Posterior systolic curling (PSC) is a morphofunctional abnormality of the posterior mitra...
BACKGROUND: Myocarditis is life-threatening in the acute phase, yet biopsy-the diagnostic gold stand...
A label-free high-frequency bioelectrical impedance spectroscopy method, coupled with supervised mac...
To determine the optimal spatial-depth architecture for deep learning-radiomics (DLR) differentiatio...
Accurate nuclei segmentation is essential for quantitative histopathological analysis and downstream...
Morphological switching in response to environmental stimuli is a well-known phenomenon in fungi, le...
BACKGROUND: Bladder cancer is the most common malignancy of the urinary tract and is often treated w...
BACKGROUND: Artificial intelligence (AI)-based methods have demonstrated considerable promise in ide...
Vertebral compression fractures (VCFs) represent the most prevalent osteoporotic fracture and consti...
INTRODUCTION: Thrombocytopenia has heterogeneous mechanisms, including peripheral destruction, consu...
Microscopy combined with local spectroscopy is widely used to correlate nanoscale structure with fun...
Multiparameter flow cytometry is essential for diagnosing mature B-cell lymphomas, yet analysis rema...
OBJECTIVE: To develop an intelligent diagnostic model based on a Local-Higher Order Graph Neural Net...
PURPOSE: Altered placental capillary blood flow is closely linked to obstetric complications, yet qu...
Esophageal cancer is biologically heterogeneous, and conventional clinicopathological staging incomp...
Due to its characteristics of high electron mobility, moderate band gap, excellent radiation resista...