Latest AI and machine learning research in pathology for healthcare professionals.
Intelligent systems in interventional healthcare depend on the reliable perception of the environmen...
Gleason grade group (GG) is the most powerful prognostic variable in localized prostate cancer; howe...
PURPOSE: Identification of mature sperm at microdissection testicular sperm extraction (mTESE) is a ...
Cancer seems to have a vast number of deaths due to its heterogeneity, aggressiveness, and significa...
Nuclei classification provides valuable information for histopathology image analysis. However, the ...
MOTIVATION: There exists an unexplained diverse variation within the predefined colon cancer stages ...
In digital pathology, accurate mitosis detection in histopathological images is critical for cancer ...
Delayed diagnosis and treatment resistance result in high pancreatic ductal adenocarcinoma (PDAC) mo...
The integration of morphological attributes extracted from histopathological images and genomic data...
OBJECTIVES: This study aimed to utilize MR radiomics-based machine learning classifiers on a large-s...
Exosomes, as next-generation biomarkers, has great potential in tracking cancer progression. They fa...
Multiplexed imaging technologies have made it possible to interrogate complex tissue microenvironmen...
G protein-coupled receptors (GPCRs) play a crucial role in cell function by transducing signals from...
BACKGROUND: The authors previously developed an artificial intelligence (AI) to assist cytologists i...
BACKGROUND: With the rapid increase of chest computed tomography (CT) images, the workload faced by ...
BACKGROUND: Thyroid cancer is a common thyroid malignancy. The majority of thyroid lesion needs intr...
INTRODUCTION: Artificial intelligence image recognition has applications in clinical practice. The p...
The morphological characteristics of the foot arch and the plantar soft tissue thickness are pivotal...
Glioma, a predominant type of brain tumor, can be fatal. This necessitates an early diagnosis and ef...
We describe the machine learning tool that we applied in the CAGI 6 experiment to predict whether si...
Tissue hysteresivity is an important marker for determining the onset and progression of respiratory...