Latest AI and machine learning research in pathology for healthcare professionals.
BACKGROUND: In the transrectal ultrasound (TRUS)-guided transperineal prostate biopsy, doctors deter...
BACKGROUND AND AIM: This study aims to construct a strategy that uses assistance from artificial int...
Traditional histopathology performed by pathologists by the naked eye is insufficient for accurate a...
Cancer of unknown primary (CUP) origin is an enigmatic group of diagnoses in which the primary anato...
OBJECTIVES: To report our experience with imaging-guided targeted prostate biopsy (IGTpBx) for patie...
Lung cancer patients with malignant pleural effusions (MPE) have a particular poor prognosis. It is ...
IMPORTANCE: Interstitial fibrosis and tubular atrophy (IFTA) is a strong indicator of decline in kid...
In kidney transplantations, pathologists evaluate the architecture of both glomeruli, interstitium a...
Ultrasound Localization Microscopy (ULM) can resolve the microvascular bed down to a few micrometers...
Modeling of hemodynamics and artificial intelligence have great potential to support clinical diagno...
Optical diffraction tomography measures the three-dimensional refractive index map of a specimen and...
This short article describes the method of digital cytopathology using Z-stack scanning with or with...
BACKGROUND: Tumor mutational burden-high (TMB-H), which is detected with gene panel testing, is a pr...
PURPOSE: Surgery is the predominant treatment modality of human glioma but suffers difficulty on cle...
High levels of microsatellite instability (MSI-H) occurs in about 15% of sporadic colorectal cancer ...
Artificial intelligence (AI)-based systems applied to histopathology whole-slide images have the pot...
PURPOSE: The aim of this narrative review is to give an overview on current and emerging imaging met...
The search for molecular species that are differentially expressed between biological states is an i...
The surgical margin status of breast lumpectomy specimens for invasive carcinoma and ductal carcinom...
Structured Illumination Microscopy (SIM) is a widespread methodology to image live and fixed biologi...
AIMS: To develop and validate a deep learning algorithm to quantify a broad spectrum of histological...