Latest AI and machine learning research in pathology for healthcare professionals.
Tuberculosis (TB) poses a significant health threat in Taiwan, necessitating efficient detection met...
Quantitative susceptibility mapping (QSM) is an MRI-based technique that estimates the underlying ti...
Spatial transcriptomics (ST), containing gene expression with fine-grained (i.e., different windows)...
This study aimed to evaluate the sensitivity of AI in screening acute leukemia and its capability to...
BACKGROUND: The timely identification and management of ovarian cancer are critical determinants of ...
Machine learning analyses within the realm of oral cancer outcomes are relatively underexplored comp...
BACKGROUND AND AIMS: Assessment and scoring of histological images in Ulcerative colitis (UC) is pro...
Lung adenocarcinoma (LUAD) is the most common primary lung cancer and accounts for 40% of all lung c...
The role of artificial intelligence (AI) in pathology offers many exciting new possibilities for imp...
Several studies have developed various artificial intelligence (AI) models for immunohistochemical a...
BACKGROUND & AIMS: Benign ulcerative colorectal diseases (UCDs) such as ulcerative colitis, Crohn's ...
Histopathology plays a critical role in the diagnosis and surgical management of cancer. However, ac...
Breast cancer results from a disruption of certain cells in breast tissue that undergo uncontrolled ...
Ultrasound localization microscopy (ULM) enables deep tissue microvascular imaging by localizing and...
Assessing programmed death ligand 1 (PD-L1) expression on tumor cells (TCs) using Food and Drug Admi...
Peripheral artery disease (PAD) is associated with impaired blood flow in the lower extremities and ...
Variations in color and texture of histopathology images are caused by differences in staining condi...
Thyroid nodules are a common occurrence, and although most are non-cancerous, some can be malignant....
Digitization of pathological slides has promoted the research of computer-aided diagnosis, in which ...
INTRODUCTION: Malignant cerebral edema (MCE) is a serious complication and the main cause of poor pr...
AIMS: Deep learning holds immense potential for histopathology, automating tasks that are simple for...