Latest AI and machine learning research in pathology for healthcare professionals.
Though critical, traditional diagnostic approaches such as X-ray, CT scans, bronchoscopy and tissue biopsy don't reliably detect lung cancer at early stages, paradigm shift has occurred recently with lung cancer diagnostics based on recent advances of molecular biology and computational technologies. Present review analyses incorporation of molecular biomarkers- EGFR, ALK, KRAS, BRAF, MET and PD-L...
OBJECTIVES: This study developed and validated a deep learning model for diagnosing lymphadenopathy (LA) using B-mode ultrasound (BUS) and color Doppler flow imaging (CDFI) videos. MATERIALS AND METHODS: A retrospective and prospective study was conducted from January 2016 to August 2025, including 7371 patients (3824 male [51.9%], 3547 females [48.1%], median age, 52 years [9-94 years]) who under...
Differentiating myocarditis from myocardial infarction (MI) using Cardiac Magnetic Resonance (CMR) imaging remains a significant clinical challenge du...
This study introduces a SMARTphone-based, expert annotated dataset of Oral Mucosa images (SMART-OM), collected to facilitate the development of Artifi...
Cerebral aneurysm is a life-threatening condition characterized by the formation of a saccular bulge in brain blood vessels, which can rupture and lea...
OBJECTIVE: To develop and internally test a multiparametric radiomics combined model for differentiating benign and malignant orbital tumors. PATIENTS...
Although the molecular regulation of hematopoiesis is well characterized, the spatial organization of hematopoietic cells within bone marrow (BM) rema...
Over the past 2 decades, risk stratification in non-muscle-invasive bladder cancer (NMIBC) has evolved considerably, progressing from simple clinico-p...
To assess how computed tomography (CT) image reconstruction techniques affect perceived diagnostic image quality at varying radiation dose levels in c...
Cancer is one of the leading causes of death worldwide, and early tumor detection can significantly reduce mortality rates. Liquid biopsy is a minimal...
OBJECTIVE: Drug-resistant epilepsy (DRE) affects approximately one-third of patients with epilepsy. The molecular heterogeneity underlying DRE remains...
BACKGROUND: Adult-type gliomas are among the most prevalent and lethal primary central nervous system tumors, where prompt and accurate diagnosis is e...
PURPOSE: This study assesses whether automated segmentation allows evaluation of subtle changes in volume and intrinsic tissue characteristics in an o...
Idiopathic pulmonary fibrosis (IPF) is a fatal interstitial lung disease that induces irreversible fibrosis and architectural remodeling. Traditional ...
Cardiovascular disease remains the predominant cause of global morbidity and mortality, with recent epidemiological trends indicating a resurgence in ...
Scanning probe microscopy (SPM), particularly atomic force microscopy (AFM), is essential for characterizing materials at the nanometer scale. However...
BACKGROUND: Non-small cell lung cancer (NSCLC) is a common type of lung cancer with poor prognosis and high mortality in advanced stages. Although sec...
INTRODUCTION: Residual feed intake (RFI) is a key indicator of feed efficiency in poultry and is regulated by coordinated physiological processes acro...
Virtual staining technology offers a promising solution to overcome the time-consuming and sample-consumption nature of conventional histochemical sta...
PURPOSE: Vaginal tissue tearing during childbirth is a prevalent injury with potential long-term consequences, yet the mechanical factors influencing ...