Latest AI and machine learning research in pathology for healthcare professionals.
UNLABELLED: AI-assisted radiomics is an emerging tool for precision oncology, and many studies have recently shown promising results. However, there are still differences in whether it can be applied in clinical practice. This study aimed to evaluate the diagnostic accuracy of PET-based radiomics in ML models for histological subtype classification of lung cancer through a systematic review and me...
In treating malignant cerebral edema after a large middle cerebral artery stroke, clinicians need quantitative tools for real-time risk assessment. Existing predictive models typically estimate risk at one, early time point, failing to account for dynamic variables. To address this, we developed Hybrid Ensemble Learning Models for Edema Trajectory (HELMET) to predict midline shift severity, an est...
Standard immunofluorescence imaging captures just ~4 molecular markers (4-plex) per cell, limiting dissection of complex biology. Inspired by multimod...
BACKGROUND: Ovarian cancer has the highest mortality rate among gynecological cancers, making early detection crucial, as the five-year survival rate ...
: Breast cancer is the most common malignancy among women globally, with an increasing incidence, particularly in younger populations. Achieving compl...
: Despite great efforts from both clinical and pathological sides to address the extent of metastatic inguinal lymph node involvement in patients with...
OBJECTIVES: Computer-aided diagnosis (CADx) is anticipated to enhance the prediction of colorectal polyp histology. This study aims to compare the dia...
Lung cancer remains the leading cause of cancer-related deaths worldwide. Low-dose computed tomography (LD-CT) screening, combined with effective mini...
The preoperative human epidermal growth factor receptor type 2 (HER2) status of breast cancer is typically determined by pathological examination of a...
SIGNIFICANCE: Diffuse correlation tomography (DCT) is an emerging technique for the noninvasive measurement of breast microvascular blood flow, wherea...
Gold standard for immunohistochemical analyses is the manual assessment by two specialist pathologists. This process is time-consuming, highly depende...
Higher T cell infiltration in colorectal tumours has been associated with better prognosis. Evidence indicates that calcium signalling is essential fo...
Ultrasound localization microscopy (ULM) has revolutionized microvascular imaging by breaking the acoustic diffraction limit. However, different ULM w...
Tumor budding (TB) and poorly differentiated clusters (PDCs) are features of infiltrative growth patterns and powerful independent prognostic factors ...
Objective Idiopathic pulmonary fibrosis (IPF), which radiologically/pathologically manifests mainly as usual interstitial pneumonia (UIP), is easily c...
Segmentation is one of the most significant steps in image processing. Segmenting an image is a technique that makes it possible to separate a digital...
Melanoma, an aggressive skin cancer, requires timely diagnostics for improved patient outcomes. The ABCDE criteria-assessing asymmetry, borders, color...
Rheumatoid arthritis is a long-term autoimmune disorder, causes joint capsule, cartilage, and bone damage. Dapagliflozin, a novel antidiabetic drug, d...
Electrospinning typically produces 2D fibrous nanofibers with poor heavy metal sorption capabilities and weak mechanical strength without post-process...
As a member of the bone morphogenetic protein (BMP) family, Bmp4 plays a crucial role in bone formation, early developmental stage and the regulation ...