Latest AI and machine learning research in pathology for healthcare professionals.
The aim of this prospective study was to determine the effectiveness of screening using image proces...
Breast cancer is a leading cause of mortality among women in Taiwan and globally. Non-invasive imag...
Surgical and neuropathologists continuously search for new and disease-specific features, such as in...
The presence, location, and extent of prostate cancer is assessed by pathologists using H&E-stained ...
Coccidiosis is a gastrointestinal parasitic disease caused by different species of Eimeria and Isosp...
INTRODUCTION: This study investigated the feasibility of single breath-hold (BH) diffusion-weighted ...
This scoping review summarizes two emerging electrical impedance technologies: electrical impedance ...
Rhabdomyosarcoma (RMS) is the most common soft tissue sarcoma in children, representing approximatel...
Squamous cell carcinoma is a prevalent cancer type that affects various organs in the human body. Ma...
BACKGROUND AND OBJECTIVES: Oral cancer is a global health challenge. The disease can be successfully...
Diagnosing malaria using standard techniques is time-consuming. With limited staffing in many labora...
There is no doubt that advanced artificial intelligence models and high quality data are the keys to...
Despite the widespread popularity of the "scratch assay," where a pipette is dragged manually throug...
End-stage liver diseases have an increasing impact worldwide, exacerbated by the shortage of transpl...
This review highlights a collection of both diverse and highly impactful studies published in the pr...
OBJECTIVE: This study aimed to investigate the supporting role of artificial intelligence (AI) in di...
Fall from a height trauma is characterized by a multiplicity of injuries, related to multiple factor...
Identification of body fluid stain at crime scene is one of the important tasks of forensic evidence...
BACKGROUND: Accurate detection of driver gene mutations is crucial for treatment planning and predic...
BACKGROUND AND OBJECTIVE: Diagnosis of pathology in the mediastinum has proven quite challenging, gi...
Using Raman spectroscopy (RS) signals for skin cancer tissue classification has recently drawn signi...