Latest AI and machine learning research in pathology for healthcare professionals.
PURPOSE: Advanced MRI techniques may provide non-invasive insight into the molecular heterogeneity o...
STATEMENT OF PROBLEM: Despite the increased use of direct-to-abutment connections for implant-suppor...
Early and accurate diagnosis of breast cancer is critical for minimizing needle biopsies and enhanci...
BACKGROUND: Renal biopsy remains the gold standard for the diagnosis of kidney diseases, and specime...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by a gradual decl...
Predicting spatial gene expression from hematoxylin and eosin (H&E)-stained histological images is a...
Prostate MRI is central to the diagnostic pathway for prostate cancer (PCa), reducing unnecessary bi...
BACKGROUND: Inflammatory and infiltrative cardiomyopathies, including cardiac sarcoidosis, transthyr...
A correct emergence profile is fundamental for achieving a natural result to transition from an impl...
Computer vision (CV) is an emerging application of artificial intelligence (AI) with growing relevan...
Pathologic diagnosis is a critical phase in deciding the optimal treatment procedure for dealing wit...
Dilated cardiomyopathy (DCM) is a clinically heterogeneous cardiac disorder characterized by ventric...
Nystagmus is a key indicator of vestibular disorders, including benign paroxysmal positional vertigo...
Endometrial carcinoma (EC) incidence is increasing, with diabetes mellitus (DM) elevating EC risk. T...
BACKGROUND: Myocarditis, as an important cardiovascular disease, involves complex pathogenic mechani...
Gastric cardia cancer (GCC) is an aggressive malignancy with poor prognosis, underscoring the need f...
Thyroid fine-needle aspiration (FNA) cytology is a widely used, cost-effective method for evaluating...
OBJECTIVE: To develop an efficient and domain-adapted system to process colonoscopy and pathology re...
Accurate identification of pathological complete response (pCR) following neoadjuvant chemoradiother...
OBJECTIVE: Radiogenomics aims to non-invasively predict tumour genotypes from imaging, but most stud...
Single-molecule localization microscopy (SMLM) enables volumetric nanoscopy by retrieving 3D molecul...