Latest AI and machine learning research in pathology for healthcare professionals.
Microscopic review of tissue sections is of foundational importance in pathology, yet the traditiona...
A brain tumor is an abnormal growth of cells within the brain or surrounding tissues, which can be e...
BACKGROUND: Accurately predicting the malignant risk of ground-glass nodules (GGOs) is crucial for p...
PURPOSE: Treatment deintensification for human papillomavirus-positive (HPV+)-associated oropharynge...
Pyrimidine metabolism is a hallmark of tumor metabolic reprogramming, while its significance in the...
To enhance the diagnostic accuracy of new nodules on the surgical side after breast cancer surgery ...
The morphological characteristics of pulmonary nodule, also known as the attributes, are crucial for...
OBJECTIVE: To develop, test, and externally validate a hybrid artificial intelligence (AI) model bas...
Diagnosing and characterizing biliary strictures (BS) remains challenging. Artificial intelligence (...
Present work involves rigorous experimentation for classification of mammographic masses by employin...
The widespread adoption of next-generation sequencing technology in molecular pathology has enabled ...
Fluid dynamics of the heart chamber can provide critical biological cues for understanding cardiac h...
Preoperative ultrasound examination of thyroid nodules is the most economical and effective screenin...
Quality control of immunohistochemistry (IHC) slides is crucial to ascertain accurate patient manage...
In biomimetic design, researchers recreate existing biological structures to form functional devices...
Integrins, a family of transmembrane receptor proteins, are well known to play important roles in ca...
Ovarian cancer (OC) is the third most common malignant tumor of women and is accompanied by an alter...
AIMS: Medulloblastoma (MB) is the most prevalent malignant brain tumour in children, characterised b...
The variability in image modalities presents significant challenges in medical image classification,...
Lung cancer is the leading cause of global cancer-related deaths, which emphasizes the critical impo...
We developed an automatic method based on a convolutional neural network (CNN) that identifies metas...