Latest AI and machine learning research in pathology for healthcare professionals.
Tooth and endodontic disease pose important challenges, and traditional therapies are dependent upon...
PURPOSE OF REVIEW: Detection of positive surgical margins during radical prostatectomy is critical t...
BACKGROUND: Non-small cell lung cancer (NSCLC) patients undergoing neoadjuvant chemotherapy (NACT) f...
AIMS AND OBJECTIVES: This study applied an ensemble learning model combining six transfer learning a...
Colorectal cancer is usually caused by malignant transformation of early colon polyps. Early polyps ...
BACKGROUND AND OBJECTIVE: Conventional apoptosis detection methods primarily depend on fluorescence ...
OBJECTIVE: The operating room (OR) is a data-rich environment and largely follows closed-door polici...
Breast carcinoma (BC) remains one of the most common and lethal malignancies in women worldwide, mak...
INTRODUCTION AND OBJECTIVES: An AI model that performs well during training does not guarantee simil...
Analyzing skeletal muscle pathology from histological images is labor intensive (requiring manual ce...
BACKGROUND: Identifying dysmorphic red blood cells (RBCs) is critical for diagnosing glomerular dise...
Hematoxylin and eosin (H&E) staining has long been a cornerstone of histopathology, typically applie...
BACKGROUND: Access to prostate MRI remains limited due to resource constraints and the need for expe...
BACKGROUND: Lymph node metastasis (LNM) is a critical prognostic indicator in papillary thyroid carc...
OBJECTIVE: To investigate the temporal evolution and predictive value of individual histopathologica...
BACKGROUND: Colon cancer diagnosis from histopathology is challenging due to limited annotated data ...
OBJECTIVES: To assess treatment response in osteosarcoma, two automated convolutional neural network...
BACKGROUND AND AIMS: Histological grading of renal cell carcinoma (RCC) is an important part of diag...
OBJECTIVES: This study aims to achieve accurate differentiation of malignant pleural mesothelioma (M...
OBJECTIVE: This study aims to develop and validate an integrated multi-task framework for hepatocell...
Globally, breast cancer represents the leading cancer type, with millions of women impacted annually...