Latest AI and machine learning research in pathology for healthcare professionals.
BACKGROUND AND OBJECTIVE: In lung cancer, the determination of mediastinal lymph node (MLN) status a...
Disruptions of brain metabolism are considered integral to the pathogenesis of dementia, but thus fa...
Non-Hodgkin B-cell lymphomas (B-NHLs) are a highly heterogeneous group of mature B-cell malignancies...
To distinguish ambiguous images during specimen slides viewing, pathologists usually spend lots of t...
Digitizing whole-slide imaging in digital pathology has led to the advancement of computer-aided tis...
Studies of medical flow imaging have technical limitations for accurate analysis of blood flow dynam...
Liquid biopsy (LB) technologies continue to improve in sensitivity, specificity, and multiplexing an...
The next generation of intelligent robotic systems has been envisioned as micro-scale mobile and ext...
Despite the advances in automatic lung cancer malignancy prediction, achieving high accuracy remains...
Platelets are anucleate cells in blood whose principal function is to stop bleeding by forming aggre...
Prostate cancer (PrCa) is the second most common cancer among men in the United States. The gold sta...
BACKGROUND: Magnetic resonance imaging (MRI) and amino acid positron-emission tomography (PET) of th...
OBJECTIVE: To develop and validate a machine learning (ML) approach for automatic three-dimensional ...
Deep convolutional neural network (DCNN), now popularly called artificial intelligence (AI), has sho...
Artificial intelligence (AI) has emerged as a powerful and exciting new technology poised to impact ...
The analysis of tissue of a tumor in the oral cavity is essential for the pathologist to ascertain i...
Safety critical events in robotic applications can often be characterized by forces between the robo...
A deep learning pipeline was developed and used to localize and classify a variety of implants in th...
Lung malignancies have been extensively characterized through radiomics and deep learning. By provid...
This study aimed to develop a diagnostic algorithm for preoperative differentiating uterine sarcoma ...
It is often difficult to distinguish between benign and malignant pulmonary nodules using only image...