Latest AI and machine learning research in pathology for healthcare professionals.
Surface-enhanced Raman spectroscopy (SERS) is a powerful optical technique for non-invasive and labe...
Digital pathology poses unique computational challenges, as a standard gigapixel slide may comprise ...
Myocardial Infarction (MI) commonly referred to as a heart attack, results from the abrupt obstructi...
Cervical cancer is a significant global health issue, its prevalence and prognosis highlighting the ...
BACKGROUND: Machine learning (ML) through artificial intelligence (AI) could provide clinicians and ...
BACKGROUND: Reliable differentiation of uveal melanoma and choroidal nevi is crucial to guide approp...
Myocarditis poses a significant health risk, often precipitated by viral infections like coronavirus...
Evaluation of skin recovery is an important step in the treatment of burns. However, conventional me...
This study developed a new convolutional neural network model to detect and classify gastric lesions...
Supermacroporous composite cryogels with enhanced adjustable functionality have received extensive i...
The leading cause of cancer-related deaths worldwide is skin cancer. Effective therapy depends on th...
BACKGROUND: Analysis of structures contained in tissue samples and the relevant contextual informati...
Platinum-based chemotherapy is the cornerstone treatment for female high-grade serous ovarian carcin...
INTRODUCTION: The stria vascularis (SV) may have a significant role in various otologic pathologies....
Precision in the diagnosis of diverse central nervous system (CNS) tumor types is crucial for optima...
Ultrasound envelope statistics imaging, including ultrasound Nakagami imaging, homodyned-K imaging, ...
In recent years, the incidence of thyroid cancer has rapidly increased. To address the issue of the ...
BACKGROUND: Advances in Next Generation Sequencing have made rapid variant discovery and detection w...
BACKGROUND: The TNFRSF9 molecule is pivotal in thyroid carcinoma (THCA) development. This study util...
PURPOSE: The aim is to devise a machine learning algorithm exploiting preoperative clinical data to ...
Magnetic Resonance Imaging (MRI) is increasingly being used in treatment planning due to its superio...