Latest AI and machine learning research in pathology for healthcare professionals.
OBJECTIVE: IgA nephropathy (IgAN) is the most common form of glomerulonephritis worldwide, character...
BackgroundManual data curation was necessary to extract radiology reports due to the ambiguities of ...
Incidental pulmonary nodules are very frequently found on CT imaging and may represent (early stage)...
Breast cancer is the leading cancer threatening women's health. In recent years, deep neural network...
BACKGROUND: Complications relating to delayed or deteriorating graft function following kidney trans...
Idiopathic multicentric Castleman disease (iMCD) is a rare lymphoproliferative disorder classified i...
Liver cancer, including hepatocellular carcinoma (HCC), cholangiocellular carcinoma (CCC), and metas...
Myocardial infarction (MI) continues to be a leading cause of death worldwide. The precise quantific...
Breast cancer significantly affects people's health globally, making early and accurate diagnosis vi...
INTRODUCTION: Population aging is increasing rapidly, representing a global trend that has launched ...
PURPOSE: Accurate preoperative diagnosis of parotid gland tumors (PGTs) is crucial for surgical plan...
The treatment of choice for canine alimentary tract neoplasms is surgical excision, but it can somet...
The digitization of vast herbarium collections has made millions of plant specimen images freely ava...
Immune dysregulation and metabolism reprogramming are implicated in bladder cancer (BLCA), the relat...
Visualizing the chemical compositions of biological samples is pivotal to advancing biological scien...
The recent introduction of the term non-invasive follicular thyroid neoplasm with papillary-like nuc...
The growing cancer burden and suboptimal diagnostic capacity in low- and middle-income countries cal...
Microscopic robots exhibit efficient locomotion in liquids by leveraging fluid dynamics and chemical...
BACKGROUND: Cryosectioned tissues often exhibit artifacts that compromise pathologists' diagnostic a...
Current lung cancer diagnostic techniques primarily focus on tissue subtype classification, yet rema...
Monitoring cancer therapy is difficult because of restricted imaging depth, inadequate molecular spe...