Latest AI and machine learning research in pathology for healthcare professionals.
OBJECTIVE: Successful dental implant placement relies on the proper integration of bone graft material into an area of deficient native bone. Traditional radiographic methods provide only qualitative assessments, making it challenging to accurately determine graft maturation and the appropriate time for successful implant placement. This study investigates the potential of visible near-infrared (V...
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy with a 5-year survival rate of only 13%. Despite recent advances in diagnosis and treatment, the prognosis of PDAC remains poor, largely owing to its complex tumor microenvironment, epithelial heterogeneity, and therapeutic resistance. In this study, we integrated bulk transcriptomic datasets, single-cell RNA sequencing (scR...
BACKGROUND: Automated breast histopathology classification requires models that can capture both local cellular morphology and broader tissue architec...
Cyanidin-3-O-galactoside(C3G) has a variety of biological activities. Pulmonary fibrosis (PF) is a fatal interstitial lung disease. To define its path...
Fast and accurate quantification of the size and morphology of nanoparticles in electron microscopy images is essential for advancing heterogeneous ca...
AIMS: Cardiac remodeling drives heart failure (HF), yet microstructural drivers in human tissue remain poorly defined due to the limited resolution of...
Fibroadenoma is the most common benign fibroepithelial lesion of the breast; it occurs most frequently in adolescents and women of reproductive age. W...
OBJECTIVES: To evaluate the diagnostic performance, feature-level agreement, and error patterns of a multimodal large language model (MLLM) across the...
PURPOSE: Repeated evidence demonstrates limited reproducibility and accuracy of the visual quantification (VQ) of the tumor cell content (TCC) by clin...
Liquid biopsy is a promising, noninvasive approach for cancer detection, but current methods often trade off accuracy, operability, and cost. To addre...
AIMS: Liver biopsy has shown prognostic significance in primary sclerosing cholangitis (PSC). However, histology is typically assessed manually based ...
BACKGROUND/PURPOSE: Breast cancer poses a significant health risk to women worldwide. The timely diagnosis of breast cancer is essential to increase t...
BACKGROUND: Cervical cancer screening in primary care is hindered by expert pathologist shortages and heavy diagnostic workloads, leading to fatigue-i...
Recent advances in self-supervised deep learning have improved our ability to quantify cellular morphological changes in high-throughput microscopy sc...
Lung cancer remains a major global health burden. Although low-dose CT (LDCT) is effective for early detection, its clinical application is limited by...
Large language models (LLMs) show promise for text-based pathology tasks, yet most reported applications remain experimental, lack formal clinical val...
Interstitial lung disease (ILD) encompasses diverse pulmonary disorders with varied prognoses. Current pathological diagnoses suffer from inter-observ...
BACKGROUND: Autoimmune gastritis (AIG), a chronic inflammatory disease associated with various comorbidities and complications, is often subject to mi...
BACKGROUND AND PURPOSE: Risk stratification in pediatric low-grade glioma (pLGG) remains challenging due to biological and clinical heterogeneity. We ...
Cell migration is a dynamic, ubiquitous cellular behavior-and understanding it is advancing at an exceptional pace. This Perspectives in Biology volum...