Latest AI and machine learning research in pathology for healthcare professionals.
Liver fibrosis is a pathological condition characterized by the abnormal proliferation of liver tiss...
Microscopy image analysis plays a pivotal role in parasitology research. Deep learning (DL), a subse...
In recent years, there has been a growing interest in engineering dynamic and autonomous systems wit...
Skin cancer has a significant impact on the lives of many individuals annually and is recognized as ...
IgA nephropathy progresses to kidney failure, making early detection important. However, definitive ...
The retroperitoneal liposarcoma (RLPS) is a rare malignancy whose only curative therapy is surgical ...
One of the most challenging aspects of bee ecology and conservation is species-level identification,...
RATIONALE AND OBJECTIVES: We examined the effectiveness of computed tomography (CT)-based deep learn...
The detection of lymph node metastases is essential for breast cancer staging, although it is a tedi...
Microplastics (MPs) in natural waters are heterogeneously mixed with other natural particles includi...
Field-derived metrics are critical for effective control of malaria, particularly in sub-Saharan Afr...
PURPOSE: A skin lesion refers to an area of the skin that exhibits anomalous growth or distinctive v...
BACKGROUND: Hyperspectral imaging (HSI), combined with machine learning, can help to identify charac...
Predicting distant recurrence of endometrial cancer (EC) is crucial for personalized adjuvant treatm...
To improve the efficiency of pathological diagnoses, the development of automatic pathological diagn...
BACKGROUND: Patients with a Breast Imaging Reporting and Data System (BI-RADS) 4 mammogram are curre...
This manuscript provides a comprehensive overview of the application of artificial intelligence (AI)...
Intraoperative Raman spectroscopy (RS) has been identified as a potential tool for surgeons to rapid...
PURPOSE: To establish a pathomic model using histopathological image features for predicting indolea...
BACKGROUND AND OBJECTIVES: Graph neural network (GNN) has been extensively used in histopathology wh...
Automated detection of cervical abnormal cells from Thin-prep cytologic test (TCT) images is crucial...