Latest AI and machine learning research in pathology for healthcare professionals.
The clinical management of biliary obstruction has long relied on mechanical drainage provided by st...
Diagnostic large-volume CSF drainage should be considered in patients with progressive cognitive/beh...
Breast cancer remains the most commonly diagnosed malignancy among women globally, with disproportio...
BACKGROUND: Malignant melanoma (MM) is an emerging public health concern in East Asia's rapidly agin...
Suspension flow cytometry enables high-throughput cellular profiling at the single cell level, but t...
INTRODUCTION: Oral squamous cell carcinoma (OSCC) and oral leukoplakia (OLK) impose a growing diagno...
INTRODUCTION: Breast cancer is a heterogeneous malignancy comprising distinct molecular subtypes, ea...
Purpose ： Deep learning has shown great promise in medical image analysis, yet challenges remain in ...
Cancer immunotherapy has revolutionized the treatment landscape, yet its clinical efficacy is limite...
Liquid crystal (LC) sensors exploit the ability of these anisotropic soft materials to amplify molec...
BACKGROUND: Craniofacial soft tissue thickness (CFSTT) is a critical parameter in forensic facial re...
PURPOSE: To evaluate the real-world sensitivity of an artificial intelligence-based pulmonary vessel...
INTRODUCTION: Lymph node (LN) metastasis serves as a critical prognostic indicator in oral squamous ...
BACKGROUND: Large language models (LLMs) are increasingly used to generate differential diagnoses fr...
BACKGROUND: The prognostic relevance of inflammatory bowel disease (IBD)-colorectal cancer (CRC) sha...
Accurate assessment of animal semen quality is essential for artificial insemination efficiency, gen...
Cells display diverse shapes, sizes, and internal structures, particularly among microbial species. ...
Magnetic Particle Imaging (MPI) is a promising, emerging medical imaging modality. MPI is based on t...
Early cancer identification is necessary to reduce mortality. Traditional methods for identifying ca...
AIMS: To develop and validate a deep learning framework for discriminating BRAF mutation status in c...
An animal's ability to survive and thrive-whether fleeing from danger, eating a meal, or fighting an...