Latest AI and machine learning research in pathology for healthcare professionals.
Reports indicate a growing role for artificial intelligence (AI) in the evaluation of pancreaticobil...
This study aimed to establish a link between the microstructure of simulated fibrotic liver tissues ...
Over the past several decades, there has been a significant increase in the number of breast cancer ...
This study examines GPT-4o's ability to communicate effectively with relatives of patients undergoi...
Accurate segmentation of pathology images plays a crucial role in digital pathology workflow. Howeve...
Breast cancer detection remains one of the most challenging problems in medical imaging. We propose ...
BACKGROUND: Malignant digestive tract tumors are highly prevalent and fatal tumor types globally, of...
Optical recording of intricate molecular dynamics is becoming an indispensable technique for biologi...
The combined analysis of dual diseases can provide new insights into pathogenic mechanisms, identify...
Sarcopenia and body composition metrics are strongly associated with patient outcomes. In this study...
To investigate the potential of employing artificial intelligence (AI) -driven breast ultrasound ana...
Autism spectrum disorder (ASD) presents significant challenges in diagnosis and intervention due to ...
Internet of Medical Things (IoMT) enabled by artificial intelligence (AI) technologies can facilitat...
Vignetting constitutes a prevalent optical degradation that significantly compromises the quality of...
Lung adenocarcinoma (LUAD) constitutes a major cause of cancer-related fatalities worldwide. Early i...
The cell cycle governs the proliferation of all eukaryotic cells. Profiling cell cycle dynamics is t...
Microsatellite instability is a strong predictor of response to immune checkpoint therapy and patien...
Proteins and protein complexes form adaptable networks that regulate essential biochemical pathways ...
PURPOSE: Artificial intelligence (AI) has the potential to improve diagnostic imaging on multiple le...
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder that leads to motor ...
Tissue semantic segmentation is one of the key tasks in computational pathology. To avoid the expens...