Latest AI and machine learning research in pathology for healthcare professionals.
BACKGROUND: Urolithiasis, a prevalent condition characterized by a high rate of incidence and recurr...
Amyotrophic lateral sclerosis (ALS) is a fatal neurological disease marked by motor deterioration an...
The color variations present in histopathological images pose a significant challenge to computation...
INTRODUCTION: Knee osteoarthritis (KOA) is a degenerative joint disease characterized by the progres...
In this paper, we present a noninvasive method for the accurate estimation of methemoglobin concentr...
Fourier transform infrared (FTIR) microspectroscopy has emerged as a pivotal pathological tool, offe...
PURPOSE: Artificial intelligence (AI) could reduce lung cancer screening computer tomography (CT)-re...
Cell cycle analysis is crucial for disease diagnosis and treatment, especially for investigating cel...
To analyze radiomics features of cardiac adipose tissue in individuals with type 2 diabetes (T2DM) a...
In the context of multi-omics data analytics for various diseases, transcriptome-wide association st...
Human cerebral organoids have become valuable tools in neurodevelopment research, holding promise fo...
Oral carcinoma (OC) is a toxic illness among the most general malignant cancers globally, and it has...
Diffusion magnetic resonance imaging (diffusion MRI) is widely employed to probe the diffusive motio...
Gastric cancer with peritoneal dissemination remains a significant clinical challenge due to its poo...
Pathologists have depended on their visual experience to assess tissue structures in smear images, w...
Feature descriptors in histopathological images are an important challenge for the implementation of...
Nanoparticle-mediated photothermal therapy (NMPTT) is an up-and-coming targeted cancer treatment. He...
Identifying tissue infections from the body still poses an unprecedented challenge in society. Conve...
PURPOSE: This study explores a self-learning method as an auxiliary approach in residency training f...
PURPOSE: While deep learning methods have shown great promise in improving the effectiveness of pros...
Soft tissue metastasis in esophageal cancer is a very rare entity. A 76-year-old man was referred fo...