Latest AI and machine learning research in pathology for healthcare professionals.
This study aimed to develop and validate a combined nomogram model based on superb microvascular ima...
Significant advances have been made in the field of intravital microscopy (IVM) on myeloid cells due...
The potential benefits and limitations of benign hysterectomy surgical approaches are still debated....
Single-cell analysis in living humans is essential for understanding disease mechanisms, but it is i...
BACKGROUND: The deterministic deep learning models have achieved state-of-the-art performance in var...
Defining meaningful feature (molecule) combinations can enhance the study of disease diagnosis and p...
BACKGROUND: Understanding lung deposition dose of black carbon is critical to fully reconcile epidem...
BACKGROUND: Many methodologies for selecting histopathological images, such as sample image patches ...
Drug-induced liver injury (DILI) presents significant diagnostic challenges, and recently artificial...
The electroencephalogram (EEG) has emerged over the past few decades as one of the key tools used by...
Spitzoid tumors (ST) are a group of melanocytic tumors of high diagnostic complexity. Since 1948, wh...
Successful treatment of pulmonary tuberculosis (TB) depends on early diagnosis and careful monitorin...
RATIONALE: Non-invasive diagnosis of idiopathic pulmonary fibrosis (IPF) involves identification of ...
The development of next-generation sequencing (NGS) opens opportunities for new applications such as...
Artificial Intelligence (AI)-enhanced histopathology presents unprecedented opportunities to benefit...
Current diagnosis of glioma types requires combining both histological features and molecular charac...
Central nervous system tumours represent one of the most lethal cancer types, particularly among chi...
Recent progress in computational pathology has been driven by deep learning. While code and data ava...
As a part of modern technological environments, virtual microscopy enriches histological learning, w...
BACKGROUND: Laryngopharyngeal cancer (LPC) includes laryngeal and hypopharyngeal cancer, whose early...
The number of studies on deep learning for medical diagnosis is expanding, and these systems are oft...