Latest AI and machine learning research in pathology for healthcare professionals.
Artificial intelligence (AI)-based image analysis is increasingly being used for preclinical safety-...
This work aimed to explore the accuracy of magnetic resonance imaging (MRI) images based on the conv...
Confocal microscopy remains a major workhorse in biomedical optical microscopy owing to its reliabil...
In preclinical research, histology images are produced using powerful optical microscopes to digitiz...
OBJECTIVES: To compare the overall image quality and detectability of significant (malignant and pre...
With the continuous development of information technology, robotics and data science will certainly ...
Bovine respiratory disease (BRD) is a multifactorial disease involving complex host immune interacti...
This research was to explore the accuracy of ultrasonic diagnosis based on artificial intelligence a...
An esophageal cancer intelligent diagnosis system is developed to improve the recognition rate of es...
Breast fibroepithelial lesions (FEL) are biphasic tumors which consist of benign fibroadenomas (FAs)...
To explore the application value of the multilevel pyramid convolutional neural network (MPCNN) mode...
A transurethral prostate biopsy device is proposed in this paper, which can shoot a biopsy needle at...
BACKGROUND AND AIM: Gastrointestinal endoscopy and biopsy-based pathological findings are needed to ...
Immune checkpoint inhibitor (ICI) therapy is widely used but effective only in a subset of gastric c...
Compared to time-consuming and unreliable manual analysis, intelligent fault diagnosis techniques us...
Machine learning has seen slow but steady uptake in diagnostic pathology over the past decade to ass...
OBJECTIVE: We evaluated the impact of the duration between the biopsy and surgery on the biochemical...
Malformations of cortical development (MCD) comprise a broad spectrum of structural brain lesions fr...
Breast cancer is a heterogeneous disease nowadays, including different biological subtypes with a va...
Raman spectroscopy enables nondestructive, label-free imaging with unprecedented molecular contrast,...
One of the most common malignant tumors of the digestive tract is emergency colorectal cancer. In re...