Latest AI and machine learning research in pathology for healthcare professionals.
BACKGROUND: Though follicular thyroid carcinoma can be confirmed postoperatively by the histological findings of capsular or vascular invasion, preoperative diagnosis of follicular-patterned lesions has long been a diagnostic challenge. This study seeks to establish a machine-learning (ML) model based on clinical, US, and CEUS features for the differential diagnosis of thyroid follicular-patterned...
OBJECTIVES: To develop various artificial intelligence (AI) models including radiomics, deep transfer learning (DTL) and habitat analysis models, as well as a combined model, for the preoperative noninvasive prediction of Ki-67 expression in hepatocellular carcinoma (HCC). MATERIALS AND METHODS: A retrospective analysis was performed on 433 patients with pathologically confirmed HCC from two insti...
BACKGROUND: Accurate and timely disease detection is essential in modern healthcare. Conventional imaging methods such as computed tomography (CT), ma...
Early detection of tumors constitutes a cornerstone of cancer prevention and control. Medical assessments alongside emerging screening modalities prov...
Lung cancer remains the leading cause of cancer-related mortality worldwide, with early detection being critical for improving survival outcomes. Liqu...
BACKGROUND: Melanoma is the fifth most common cancer in the USA and the UK, with global incidence on the rise. The TNM staging system guides treatment...
BACKGROUND: Machine-learning (ML) driven molecular diagnostics based on omics data has a potential to revolutionize personalized medicine. However, im...
Biomedical imaging is increasingly defined by a paradox: advances in microscopy now enable the routine generation of extraordinarily rich, high-dimens...
Chronic wasting disease (CWD) and scrapie are transmissible spongiform encephalopathy diseases caused by prions, infectious forms of the prion protein...
Through machine learning, researchers have uncovered distinct spatial ecotypes in the tumor microenvironment that are broadly conserved across multipl...
INTRODUCTION: Prostate cancer is well known to be androgen-dependent, with growth directly relying on the androgen receptor signaling pathway. In fact...
PURPOSE: Advanced MRI techniques may provide non-invasive insight into the molecular heterogeneity of glioblastoma. Amide proton transfer-weighted (AP...
BACKGROUND: Growing evidence suggests that disruptions in rest-activity rhythms may serve as relevant markers of posttraumatic stress disorder (PTSD)....
STATEMENT OF PROBLEM: Despite the increased use of direct-to-abutment connections for implant-supported fixed complete dental prostheses (ISFCDPs), li...
Early and accurate diagnosis of breast cancer is critical for minimizing needle biopsies and enhancing patient outcomes and requires effective integra...
BACKGROUND: Renal biopsy remains the gold standard for the diagnosis of kidney diseases, and specimen adequacy is essential for reliable histopatholog...
Predicting spatial gene expression from hematoxylin and eosin (H&E)-stained histological images is a central challenge in the field of computational p...
Prostate MRI is central to the diagnostic pathway for prostate cancer (PCa), reducing unnecessary biopsies, improving the detection of clinically sign...
BACKGROUND: Inflammatory and infiltrative cardiomyopathies, including cardiac sarcoidosis, transthyretin amyloidosis, and autoimmune myocarditis, are ...
A correct emergence profile is fundamental for achieving a natural result to transition from an implant with a circular neck to a cervical area that r...