Latest AI and machine learning research in pathology for healthcare professionals.
Clear cell renal cell carcinoma (ccRCC) is an aggressive malignancy with a high risk of postoperativ...
We benchmarked histopathology foundation encoders paired with attention-based multiple instance lear...
Magnetic Resonance Imaging is a critical imaging modality in clinical diagnosis and research, yet it...
BACKGROUND/AIMS: Intrahepatic cholangiocarcinoma (iCCA) represents an unmet clinical need due to its...
The differentiation between pathological subtypes of non-small cell lung cancer (NSCLC) is an essent...
Predicting pathological complete response (pCR) to neoadjuvant therapy (NAT) in breast cancer remain...
Malignant stroke is a life-threatening condition, with mortality rates reaching up to 80% among pati...
BACKGROUND: Microscopic, immunologic, and chemical testing play a major role in the diagnostic proce...
BACKGROUND: Predicting response to immune checkpoint inhibitor plus tyrosine kinase inhibitor (IO+TK...
BACKGROUND: Oral cavity squamous cell carcinoma (OSCC) is a global health burden, where negative mar...
Pyrethroid pesticides such as lambda-cyhalothrin (LC) continue to pose substantial risks to freshwat...
UNLABELLED: Metastasis is the leading cause of cancer deaths. To develop strategies for intercepting...
UNLABELLED: Pediatric sarcomas present diagnostic challenges due to their rarity and diverse subtype...
High retear rates in surgical intervention of interfacial/transitional tissues (bone-tendon, bone-li...
Identification of malignant and non-malignant regions in breast cancer whole slide images (WSIs) is ...
OBJECTIVES: Accurate noninvasive classification of hepatic lesions remains a diagnostic challenge, p...
PURPOSE: Natural language processing (NLP, artificial intelligence) can enable automated identificat...
The structure and dynamics of adsorbed atoms (adatoms) at solid-liquid interfaces determine the perf...
Detection of early hepatocellular carcinoma (eHCC) is important for timely treatment and improved pr...
The aim of this study is to develop and evaluate the performance of a two-stage deep learning-based ...
Pathology report generation has received increasing attention in recent years. However, existing pat...