Latest AI and machine learning research in pathology for healthcare professionals.
RATIONALE AND OBJECTIVES: This study aims to evaluate whether radiomics methods used on breast mammo...
BACKGROUND: Mitochondria-associated endoplasmic reticulum membranes (MAM) play a critical regulatory...
Three-dimensional (3D) alignment is a key step in volume electron microscopy (vEM), aimed at address...
Prefibrotic primary myelofibrosis (prePMF) and essential thrombocythemia (ET) are distinct myeloprol...
Patients with Hashimoto's thyroiditis (HT) frequently present with concurrent nodular lesions such a...
CONTEXT: Pediatric differentiated thyroid carcinoma (DTC) often presents with advanced disease but g...
PURPOSE: Hypervascular pancreatic ductal adenocarcinoma (PDAC) and mass-forming pancreatitis (MFP) r...
Psoriasis and eczema are chronic inflammatory skin diseases with overlapping histopathological featu...
Fat-containing soft-tissue tumors encompass a broad spectrum of entities, ranging from indolent lipo...
This study aimed to develop and evaluate a machine learning pipeline using multiphase contrast-enhan...
Bone metastasis affects approximately 40% of patients with non-small cell lung cancer (NSCLC), signi...
Federated learning (FL) enables collaborative medical image analysis across decentralized institutio...
Early identification of malignant ovarian tumors is critical for informing treatment decisions and e...
BACKGROUND: Lung cancer is the leading cause of cancer-related deaths. Diagnosis at late stages is c...
The suprachiasmatic nucleus (SCN) is considered the master pacemaker of the circadian clock in mamma...
OBJECTIVES: To evaluate the performance of radiologists with artificial intelligence (AI)-based comp...
BACKGROUND: Accurate and noninvasive breast cancer grading and therapy monitoring remain critical ch...
AIMS: Annotation of liver biopsies for disease staging is increasingly aided by digital pathology; h...
PURPOSE: Intracranial calcifications are commonly found in adults and may represent either benign or...
Label-free detection of microRNAs (miRNAs) has emerged as a pivotal approach in molecular diagnostic...
Infertility has emerged as an increasingly serious global public health concern, affecting approxima...