Latest AI and machine learning research in pathology for healthcare professionals.
Breast cancer is one of the largest single contributors to the burden of disease worldwide. Early de...
BACKGROUND: This study aims to develop an attention-based deep learning model for distinguishing ben...
Artificial intelligence (AI) applications are an area of active investigation in clinical chemistry....
Unreliable predictions can occur when an artificial intelligence (AI) system is presented with data ...
BACKGROUND: Colorectal and gastric cancer are major causes of cancer-related deaths. In Korea, gastr...
OBJECTIVE: To identify patient, perioperative, and hospital factors that drive total hospital charge...
Analysis of medical images, such as radiological or tissue specimens, is an indispensable part of me...
Automated methods for segmentation-based brain volumetry may be confounded by the presence of white ...
Machine learning methods have been growing in prominence across all areas of medicine. In pathology,...
BACKGROUND: Histopathological grading is a significant risk factor for postsurgical recurrence in he...
Healthcare systems in recent times have witnessed timely diagnoses with a high level of accuracy. In...
BACKGROUND: Localization-based super-resolution microscopy resolves macromolecular structures down t...
N6-methyladenosine (mA) is the most abundant within eukaryotic messenger RNA modification, which pla...
Currently early diagnosis of malignant lesions at the periphery of lung parenchyma requires guidance...
Radical nephroureterectomy with bladder cuff excision (BCE) is the standard of care all high-risk u...
PURPOSE: This study aimed to examine whether preoperative Prostate Imaging Reporting and Data System...
Volume electron microscopy is an important imaging modality in contemporary cell biology. Identifica...
BACKGROUND: The application of artificial intelligence (AI) to whole slide images has the potential ...
In robot-assisted ultrasound-guided needle biopsy, it is essential to conduct calibration of the ult...
Endoscopic ultrasound (EUS) was born from the combination of a high-frequency ultrasound probe with ...
Enabling simultaneous and high-resolution quantification of the total concentration of hemoglobin ( ...