Latest AI and machine learning research in pathology for healthcare professionals.
The integration of artificial intelligence (AI) and computational pathology has the potential to ref...
BACKGROUND: Burkitt lymphoma (BL) is a highly aggressive malignancy with limited effective treatment...
Metal nanoparticles, such as gold nanoparticles (AuNPs), are widely used as biosensing materials. In...
The rising prevalence of bone and dental diseases, compounded by an ageing population, underscores t...
Recently, a structured approach to renal mass characterization known as the Kidney Imaging Reporting...
PURPOSE OF REVIEW: Oral squamous cell carcinoma (OSCC) is frequently associated with severe nocicept...
Bethesda IV thyroid nodules remain a major diagnostic challenge because cytology cannot reliably dis...
OBJECTIVE: Successful dental implant placement relies on the proper integration of bone graft materi...
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy with a 5-year survival rat...
BACKGROUND: Automated breast histopathology classification requires models that can capture both loc...
Fast and accurate quantification of the size and morphology of nanoparticles in electron microscopy ...
AIMS: Cardiac remodeling drives heart failure (HF), yet microstructural drivers in human tissue rema...
Fibroadenoma is the most common benign fibroepithelial lesion of the breast; it occurs most frequent...
OBJECTIVES: To evaluate the diagnostic performance, feature-level agreement, and error patterns of a...
PURPOSE: Repeated evidence demonstrates limited reproducibility and accuracy of the visual quantific...
Liquid biopsy is a promising, noninvasive approach for cancer detection, but current methods often t...
AIMS: Liver biopsy has shown prognostic significance in primary sclerosing cholangitis (PSC). Howeve...
BACKGROUND/PURPOSE: Breast cancer poses a significant health risk to women worldwide. The timely dia...
BACKGROUND: Cervical cancer screening in primary care is hindered by expert pathologist shortages an...
Recent advances in self-supervised deep learning have improved our ability to quantify cellular morp...
Lung cancer remains a major global health burden. Although low-dose CT (LDCT) is effective for early...