Latest AI and machine learning research in pathology for healthcare professionals.
Building deep learning models that can rapidly segment whole slide images (WSIs) using only a handfu...
INTRODUCTION: We present the state of the art of ultrasound-based machine learning (ML) radiomics mo...
This study evaluated the effects of a commercial probiotic containing and on the growth performanc...
Conventional ascitic fluid cytology for detecting ovarian cancer is limited by its low sensitivity. ...
The lack of reliable non-invasive biomarkers for early colorectal cancer (CRC) diagnosis underscores...
BACKGROUND: Large language models like ChatGPT have demonstrated potential in medical image interpre...
Despite being one of the most prevalent cancers, prostate cancer (PCa) shows a significantly high su...
Raman spectroscopy, as a label-free optical technique, provides a unique solution for tissue diagnos...
Liquid biopsy offers a minimally invasive method for detecting and monitoring cancer, with key bioma...
BACKGROUND: Effective chronic pancreatitis (CP) treatment requires accurate severity evaluation, but...
Breast cancer is one of the most prevalent cancers affecting women worldwide. Early detection and tr...
The Vehicular Reference Misbehavior Dataset (VeReMi) is a vital resource for advancing Intelligent T...
The malignant potential of pancreatic cystic lesions (PCLs) varies dramatically, leading to difficul...
A brain tumor is a serious medical condition characterized by the abnormal growth of cells within th...
Radiation therapy remains a cornerstone in the treatment of cancer, with the delineation of Organs a...
Breast cancer is one of the most prevalent cancers amongst women, caused by uncontrolled cell growth...
OBJECTIVE: This study develops and validates a machine learning model using peritoneal cytology to p...
Diagnostic adjuncts for oral potentially malignant disorders such as leukoplakia or erythroplakia ca...
MicroRNAs (miRNAs) are noncoding, single-stranded RNAs molecules modulating gene expression thanks t...
BACKGROUND: This study aimed to classify dysplastic and healthy oral epithelial histopathological im...
Digital pathology (DP) has significantly transformed breast pathology at Mount Sinai Hospital by enh...