Latest AI and machine learning research in pathology for healthcare professionals.
BACKGROUND: Artificial intelligence (AI) has emerged as a promising tool in dentistry, particularly ...
BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) remains one of the most aggressive cancers, typi...
Malignant tumors present a significant global health challenge, and accurate pathological grading is...
BACKGROUND AND OBJECTIVE: Early and accurate diagnosis of gastric cancer is crucial for improving pa...
BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is a major cause of cancer mortality in Asia, ...
Hepatocellular carcinoma (HCC) remains a major global health challenge due to its molecular heteroge...
BACKGROUND: To investigate whether a machine learning (ML) model integrating CT-based radiomics and ...
BACKGROUND: Current preoperative assessment faces limitations, including PI-RADS scoring subjectivit...
Recent advancements in nondestructive 3D pathology offer a complement to standard histology by enabl...
Minor salivary gland biopsy occupies a distinctive position in the evaluation of Sjögren disease (Sj...
Liquid biopsy has revolutionized noninvasive disease diagnosis and monitoring by detecting circulati...
Cellular structural heterogeneity and low intrinsic contrast in label-free bright-field imaging hind...
Early and reliable detection of breast cancer across imaging modalities remains a long-standing chal...
BACKGROUND: Interstitial fibrosis (IF) is the strongest predictor of chronic kidney disease progress...
The clinical adoption of deep learning (DL) for histopathological image analysis is hindered by perf...
Age-related osteoporosis is increasingly recognized as a disease of stem cell dysfunction, hallmarke...
OBJECTIVES: Female-specific cancers, including breast, ovarian, cervical and uterine malignancies, l...
INTRODUCTION: High costs of screening and diagnostic tests remain a major barrier to timely tubercul...
Digital pathology is a major technological revolution for pathology. It modernizes routine practices...
PURPOSE: To differentiate benign and malignant breast masses by extracting radiomic features from lo...
Optical microscopic imaging and analysis are indispensable in modern pathology for providing conclus...