Latest AI and machine learning research in pathology for healthcare professionals.
Tissue regeneration after a wound occurs through three main overlapping and interrelated stages name...
Assessment of the morphology of red blood cells (RBCs) can improve clinical benefits following blood...
OBJECTIVE: To assess the diagnostic performance of the GPT-4 model in comparison to resident physici...
Predictive biomarker identification in cancer treatment has traditionally relied on pre-defined anal...
OBJECTIVES: Human papillomavirus (HPV) influences the pathobiology of Head and Neck Squamous Cell Ca...
Despite significant progress in diagnosis and treatment, breast cancer remains a formidable health c...
Proteins can act as suitable biomarkers for the prognosis and diagnosis of certain conditions and ca...
PURPOSE: Pathologists diagnose prostate cancer (PCa) on hematoxylin and eosin (HE)-stained sections ...
The accurate diagnosis of skin diseases is crucial for effective patient management and treatment, y...
Current breast cancer diagnosis methods often face limitations such as high cost, time consumption, ...
ObjectivesTo meet the high demand for polymerase chain reaction (PCR) tests to diagnose COVID-19 and...
BACKGROUND: The accurate and timely diagnosis of oral potentially malignant lesions (OPMLs) is cruci...
BACKGROUND: Malignant cerebral edema (MCE) is a significant complication following endovascular thro...
This study introduces a novel deep learning approach aimed at accurately classifying Gallbladder Can...
BACKGROUND: Urolithiasis, a prevalent condition characterized by a high rate of incidence and recurr...
Amyotrophic lateral sclerosis (ALS) is a fatal neurological disease marked by motor deterioration an...
The color variations present in histopathological images pose a significant challenge to computation...
Fourier transform infrared (FTIR) microspectroscopy has emerged as a pivotal pathological tool, offe...
PURPOSE: Artificial intelligence (AI) could reduce lung cancer screening computer tomography (CT)-re...
Cell cycle analysis is crucial for disease diagnosis and treatment, especially for investigating cel...
In the context of multi-omics data analytics for various diseases, transcriptome-wide association st...