Latest AI and machine learning research in pathology for healthcare professionals.
Optimizing murine models for studying Metabolic Dysfunction-Associated Steatohepatitis (MASH) and fi...
BACKGROUND: Childhood T-lineage acute lymphoblastic leukemia (T-ALL) is an aggressive hematologic ma...
BACKGROUND: The study assessed the role of CT-based breast tissue composition in predicting toxiciti...
Inflammatory orbital diseases are characterized by inflammation that may involve any structure of th...
Breast cancer classification has undergone significant evolution; however, the long-standing binary ...
Histological analysis is essential for understanding disease pathology and the microenvironment, par...
BACKGROUND: Neoadjuvant therapy (NAT) is crucial for locally advanced breast cancer, but post-NAT ly...
BACKGROUND: Artificial intelligence-powered chatbots, whose use is becoming increasingly widespread,...
Understanding the stability of bulk nanobubbles, especially how electrolyte ions influence their coa...
The quantitative analysis of tissue deformation at cellular resolution remains an important challeng...
Transurethral resection of the prostate (TURP) specimens represent a low-prevalence, high-volume dia...
Preeclampsia (PE) is a severe pregnancy-specific complication characterized by new-onset hypertensio...
BACKGROUND: Mohs micrographic surgery (MMS) is the gold standard for treating aggressive basal cell ...
The quest to mitigate the critical challenges in the global energy landscape and carbon emission cri...
Robotic-assisted prostate biopsy is now a key approach for early, accurate prostate cancer detection...
BACKGROUND: This study aimed to evaluate the predictive model based on multi-dual-energy computed to...
BACKGROUND: Brain metastases (BM) are the most common intracranial tumors in adults, and stereotacti...
BACKGROUND: Accurate staging of liver fibrosis is crucial for risk stratification in patients with m...
Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies worldwide, and accura...
This study aims to develop a 2.5D deep learning model with shape and margin as auxiliary tasks to im...
BACKGROUND: Cervical cancer (CC) ranks among the most prevalent malignant neoplasms affecting women ...