Latest AI and machine learning research in pathology for healthcare professionals.
Artificial intelligence (AI) and machine learning (ML) are transforming nephrology by enhancing diag...
OBJECTIVE: To develop an advanced deep learning model for accurate differentiation between benign an...
Rheumatoid arthritis (RA) is distinguished by the presence of modified bone microarchitecture, also ...
Kidney transplantation is the optimal treatment for end-stage renal disease (ESRD), but acute reject...
Lung and colon cancers (LCC) are among the foremost reasons for human death and disease. Early analy...
Alzheimer's Disease (AD) is a progressive neurodegenerative disorder marked by neuronal loss, leadin...
Histopathology with hematoxylin and eosin (H&E) staining is routinely employed for clinical diagnose...
Cellular senescence is an irreversible state of cell cycle arrest with a complex role in tissue repa...
INTRODUCTION: Histopathological evaluation of prostate biopsies using the Gleason scoring system is ...
Due to its low light dose, ultra-high imaging speed and super-resolution, structured illumination mi...
When formed in vivo, murine hemostatic thrombi exhibit a heterogeneous architecture comprised of dis...
OBJECTIVE: To evaluate the generalizability of a computer-aided diagnosis (CADx) system based on the...
Identifying the presence of tumors at a very early stage or deciphering the process underlying their...
Accurate early diagnosis is essential for preventing diseases and improving cure and survival rates....
BACKGROUND: Multiparametric magnetic resonance imaging (mpMRI) has significantly advanced prostate c...
This article proposes a novel approach for vibration-based gearbox fault diagnosis using a multi-sca...
Acute Respiratory Distress Syndrome (ARDS) is a life-threatening condition characterized by acute on...
INTRODUCTION: Clinicians struggle to accurately classify biliary strictures as benign or malignant. ...
Understanding the process of fibrotic scarring of the myocardium is critical for the diagnosis and r...
The identification of key features and reliable phenotype classification remains pivotal in cancer r...
Artificial intelligence (AI) methods for digital pathology have tremendous potential to improve canc...