Latest AI and machine learning research in pathology for healthcare professionals.
Implanted medical devices often fail due to foreign body reactions (FBRs), a process that is still n...
PURPOSE OF REVIEW: To examine recent advances in understanding breast cancer brain metastases (BCBM)...
With the advancement of modern medicine and engineering, breast deformation analysis has become incr...
SIGNIFICANCE: Diabetic foot ulcers (DFUs) represent one of the most devastating complications of dia...
For the safety monitoring of herbal medicines (HMs), HM inspectors carry out an organoleptic examina...
Cancer organoids and cancer spheroids are 3D cell culture models with distinct yet overlapping purpo...
ConspectusNear-infrared II (NIR-II, 1000-3000 nm), also defined as shortwave infrared (SWIR) imaging...
INTRODUCTION AND AIM: Oral squamous cell carcinoma (OSCC) rates have been on the rise globally due t...
Ultrasound (US)-guided microwave ablation (MWA) has emerged as a promising minimally invasive therap...
Renal cell carcinoma is the primary cause of cancer-related mortality, highlighting the importance o...
Purpose To develop a digitized integrated feature-based interpretable machine learning classificatio...
The pore radius distribution plays a significant role in characterizing the porous structure of powd...
BACKGROUND: The lymph node ratio (LNR) is gaining recognition as a prognostic biomarker for various ...
BACKGROUND: Frozen section (FS) tissue assessment is essential for guiding intraoperative surgical d...
The pursuit of autonomous chemical transformations with single-bond precision represents a central c...
This study aims to integrate lesion-specific pericoronary adipose tissue (PCAT) radiomics analysis w...
Deep learning is expected to aid pathologists in tasks such as tumour segmentation. We developed a g...
OBJECTIVES: For indeterminate thyroid nodules, molecular tests offer high negative predictive value ...
BACKGROUND AIMS: The scalable manufacturing of cell therapies creates a significant need for robust ...
AIM: The clinical integration of four-dimensional flow magnetic resonance imaging (4D-flow MRI) for ...
BACKGROUND: The field of pathology has not yet fully realized the potential of artificial intelligen...