Latest AI and machine learning research in pathology for healthcare professionals.
PURPOSE: This investigation focused on developing a predictive clinical tool that combines biparamet...
Cervical cancer screening remains pivotal for early detection and effective disease management, yet ...
OBJECTIVES: Accurate preoperative classification of pulmonary nodules (PNs) is critical for guiding ...
Somatic evolution leads to clonal heterogeneity, which fuels cancer progression and therapy resistan...
OBJECTIVE: Although artificial intelligence tools show promise for enhancing the diagnosis of head a...
BACKGROUND & AIMS: Assessment of histologic disease activity (grading) and fibrosis (staging) is a p...
Canine cutaneous mast cell tumors (ccMCTs) are frequent neoplasms with variable biological behaviors...
PURPOSE: Conventional magnetic resonance imaging (MRI) for locally advanced rectal cancer (LARC) inv...
Cervical cancer ranks fourth in terms of cancer mortality among women. The most important risk facto...
Leukemia remains a prevalent hematologic malignancy, and its morphological heterogeneity presents ch...
BACKGROUND: Early detection of cancer reduces mortality and morbidity, but conventional screening me...
PURPOSE: The clinical significance of medullary abnormalities in the appendicular skeleton detected ...
BACKGROUND: Transrectal in-bore MR-guided biopsy (MRGB) is accurate but time-consuming, limiting cli...
BACKGROUND: Traumatic Brain Injury (TBI) is a global health concern, with mild TBI (mTBI) being the ...
Tissue architecture is a product of a multilayered molecular landscape, where even subtle disruption...
Accurate prognostic stratification is essential for optimizing postoperative therapeutic strategies ...
OBJECTIVES: To develop and validate an ultrasonography-based machine learning (ML) model for predict...
Deep learning (DL) has emerged as a powerful tool for modeling unstructured data, thereby improving ...
OBJECTIVE: This study investigates the diagnostic potential of nicotinamide N-methyltransferase (NNM...
Gastric cancer is among the most common diseases worldwide and can lead to fatal outcomes. Early dia...
OBJECTIVES: This study aimed to develop and validate a two-stage deep learning method for diagnosing...