Latest AI and machine learning research in pathology for healthcare professionals.
Kidney disease represents a growing global health crisis, demanding a deeper understanding of its un...
Histopathological image analysis is critical for cancer diagnosis, yet many existing models suffer f...
BACKGROUND AND OBJECTIVE: Deep learning-based cell segmentation and classification methods in digita...
OBJECTIVES: This study aimed to evaluate the feasibility of robotic venipuncture in clinical setting...
Endoscopic ultrasound (EUS) has evolved from a diagnostic imaging tool into a versatile platform tha...
BACKGROUND: Despite affecting approximately 30% of the population, the pathogenesis of temporomandib...
BACKGROUND: Meningiomas are the most common dural-based intracranial tumors, yet Indian literature i...
Artificial intelligence (AI) is reshaping cervical cancer screening by automating interpretation of ...
BACKGROUND: Predicting chemosensitivity before treatment could help tailor neoadjuvant chemotherapy ...
BACKGROUND: Hypoperfusion-induced cerebral infarction remains a significant therapeutic challenge du...
Neoadjuvant immunochemotherapy (NAIC) is a standard treatment for triple-negative breast cancer (TNB...
UNLABELLED: Gastric cancer (GC) is one of the most common malignant tumors worldwide. Banxia Xiexin ...
OBJECTIVE: To develop and validate a multimodal deep-learning classifier trained on stroboscopic ima...
Endometriosis is a chronic inflammatory disorder in which endometrial tissue grows outside the uteru...
Investigating the transcriptional signatures of immune cells in various cancer types is crucial for ...
INTRODUCTION: Focal therapy (FT) has emerged as an intermediate therapeutic strategy between active ...
BACKGROUND AND OBJECTIVE: White blood cells (WBCs) are key biomarkers of immune status, but current ...
Microvascular networks (MVNs) formed via endothelial cell self-assembly in 3D hydrogels have emerged...
Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization...
OBJECTIVE: Accurate classification of salivary gland tumors is critical to guiding appropriate manag...
Fast intraoperative histopathology is critical for optimal surgery in ovarian, endometrial and cervi...