Latest AI and machine learning research in pathology for healthcare professionals.
Primary Central Nervous System tumors in the brain are among the most aggressive diseases affecting ...
RNAscope staining of breast cancer tissue allows pathologists to deduce genetic characteristics of t...
An integral stage in typical digital pathology workflows involves deriving specific features from ti...
Breast cancer is the most prevalent cancer in women, and early diagnosis of malignant lesions is cru...
OBJECTIVE: Recently, we developed a first artificial intelligence (AI)-based digital pathology class...
BACKGROUND AND OBJECTIVE: Low-dose computed tomography (LDCT) screening has shown promise in reducin...
The field of neuropathology, a subspecialty of pathology which studies the diseases affecting the ne...
With the recent surge in the development of highly selective probes, fluorescence microscopy has bec...
BACKGROUND: Gastrointestinal stromal tumors (GISTs) have malignant potential, and treatment varies a...
Glioblastoma multiforme (GBM) is one of the most common and aggressive type of malignant glioma with...
There is an urgent need for better biomarkers for the detection of early-stage breast cancer. Utiliz...
Numerous prognostic factors are currently assessed histologically and immunohistochemically in canin...
The early diagnosis of diabetic retinopathy (DR) is challenging, highlighting the urgent need to ide...
Bone metastasis (BM) is a serious clinical symptom of advanced colorectal cancer. However, there is...
Alport syndrome is a rare kidney disease typically more severe in males due to its X-linked inherita...
PURPOSE: To build and validate a combined radiomics and machine learning (ML) approach using B-mode ...
Lung cancer is one of the most prevalent and lethal cancers. To improve health outcomes while reduci...
Characterization of breast parenchyma in dynamic contrast-enhanced magnetic resonance imaging (DCE-M...
The purpose of this study was to evaluate the performance of convolutional neural network (CNN)-base...
OBJECTIVE: This study aims to evaluate the diagnostic performance of a commercial, fully-automated, ...
Thyroid nodules are challenging to accurately characterize on ultrasound (US), though the emergence...