Latest AI and machine learning research in pathology for healthcare professionals.
Peritoneal washing cytology (CY) in patients with pancreatic cancer is mainly used for staging; howe...
The mislocalization of proteins leads to breast cancer, one of the world's most prevalent cancers, w...
Hepatocellular carcinoma (HCC) is a malignant tumor. It is estimated that approximately 50-80% of HC...
The aim of this study is to establish a deep learning (DL) model to predict the pathological type of...
Hematoxylin and eosin (H&E) staining is a crucial technique for diagnosing glioma, allowing direct o...
Cancer is widely recognized as the primary cause of mortality worldwide, and pathology analysis play...
BACKGROUND: The objective of this study is to examine the application of artificial intelligence (AI...
Breast cancer is a major health concern for women everywhere and a major killer of women. Malignant ...
: This study aims to assess whole-mount Gleason grading (GG) in prostate cancer (PCa) accurately usi...
BACKGROUND: Early screening using low-dose computed tomography (LDCT) can reduce mortality caused by...
The incidence of thyroid cancer is increasing worldwide. Fine-needle aspiration (FNA) cytology is wi...
Smoke exposure is associated with bladder cancer (BC). However, little is known about whether the hi...
The uncertainty of true labels in medical images hinders diagnosis owing to the variability across p...
Assessing the visual accuracy of two large language models (LLMs) in microbial classification. GPT-...
Using a cutting-edge net-shape manufacturing technique called Additive Layer Manufacturing (ALM), hi...
The tissue diagnosis of adenocarcinoma and intraductal carcinoma of the prostate includes Gleason gr...
PURPOSE: To build an Mult-Task Learning (MTL) based Artificial Intelligence(AI) model that can simul...
OBJECTIVES: Breast cancer is a type of cancer caused by the uncontrolled growth of cells in the brea...
BACKGROUND: Depression can be associated with increased mortality and morbidity, but no studies have...
OBJECTIVES: The aims of the study were to construct a new prognostic prediction model for detecting ...
PURPOSE: The purpose of the 2023 SFR data challenge was to invite researchers to develop artificial ...