Latest AI and machine learning research in pathology for healthcare professionals.
Colposcopy remains a critical step in the diagnostic algorithm following a positive HPV test, but it...
Diagnostic pathology depends on complex, structured reasoning to interpret clinical, histologic, and...
T1w/T2w ratio mapping, combining voxel-wise signal intensities in T1-weighted (T1w) and T2-weighted ...
Large Vision Language Models (LVLMs) have recently revolutionized computational pathology. LVLMs tra...
Quantification of placental histopathological structures is challenging due to a limited number of p...
Extracellular vesicles (EVs) are lipid nano-to-micro-sized vesicles increasingly identified as valua...
The indicator cell assay platform (iCAP) is a tool for blood-based diagnostics that addresses the lo...
Accurate quantification of the Ki-67 proliferation index is essential for breast cancer prognosis an...
Annotation of liver biopsies, for disease staging is increasingly aided by digital pathology, howeve...
Deep learning (DL)-based pathological image modelling and analysis approaches offer transformative p...
Advanced-stage disease at the time of diagnosis, with resultant high mortality, is among the most ur...
Accurate data resources are essential for impactful medical research, but available structured datas...
The molecular profiling of gliomas for isocitrate dehydrogenase (IDH) mutations currently relies on ...
Multiplexed protein imaging offers valuable insights into interactions between tumors and their surr...
Thyroid nodules are frequently encountered in clinical practice, with their detection increasing due...
Genomic testing has transformed treatment decisions for hormone receptor-positive, HER2-negative (HR...
The global rise in endometrial cancer, including in Japan, and the shortage of pathologists and cyto...
Accurate cancer subtyping is crucial for effective treatment; however, it presents challenges due to...
We sought to develop a diffusion model-based framework that guides both larger anatomical structures...
To advance precision medicine in pathology, robust AI-driven foundation models are increasingly need...
Effective clinical management of patients with cancer requires highly accurate diagnosis, precise th...