Latest AI and machine learning research in pathology for healthcare professionals.
Ultrasound radiomics is gradually emerging as a powerful tool for improving the diagnosis and management of Hashimoto's thyroiditis (HT), effectively overcoming the limitations of conventional ultrasound, such as high interobserver variability and difficulties in evaluating nodule characteristics. This narrative review aims to systematically summarize the fundamental principles, algorithms, and cl...
Squamous cell carcinoma (SCC) is a common malignancy that arises in diverse organs and often exhibits overlapping histological and immunophenotypic features, making accurate determination of the tissue of origin challenging with conventional pathology. To address this, we developed Deepath-SCC, a deep learning model for pan-SCC tissue origin identification directly from hematoxylin and eosin-stain...
OBJECTIVE: To support cancer screening and identify precancerous conditions, such as atypical hyperplasia, to improve cure rates and reduce mortality,...
A major challenge in deciphering the complex genetic landscape of polycystic ovary syndrome (PCOS) lies in the limited understanding of how susceptibi...
BACKGROUND: Sampling techniques have poor accuracy for classifying biliary strictures as benign or malignant. Previously, a cholangioscopy artificial ...
PURPOSE: An emerging application of artificial intelligence (AI) in cervical cytology is its use as an independent screener for triaging cases that do...
OBJECTIVES: Early vocal changes such as hoarseness or voice fatigue are common and often attributed to normal aging or benign conditions, which can de...
The tumor microenvironment (TME), composed of tumor cells together with stromal cells, immune cells, vascular networks, and other components, constitu...
Intervertebral disc degeneration (IDD) is a prevalent disease with an increasing incidence, and aging is a key risk factor for its progression. Theref...
Artificial intelligence (AI) is rapidly reshaping clinical oncology, as cancer care increasingly relies on integrating heterogeneous data streams span...
Cystic breast lesions are commonly encountered on breast ultrasound, encompassing a spectrum from simple benign cysts to complex mixed solid and cysti...
BACKGROUND: Pathological scars, including hypertrophic scars and keloids, are fibrotic skin disorders marked by excessive collagen deposition and pers...
Breast tumor is the most commonly detected tumors and remain one of the leading causes of cancer-related mortality among women worldwide. Although mam...
Magnetic resonance imaging (MRI) is essential in the accurate diagnosis of brain tumors so that sound treatment planning can be done, however, clinica...
Social insect pollinators, such as bumblebees, face increasing threats from environmental agrochemicals; yet the sublethal effects of these compounds ...
Surface-enhanced Raman scattering (SERS) nanoprobe-based immunoassay is an emerging liquid biopsy modality for the detection of blood biomarkers. Howe...
Achieving high spatial resolution is critical for revealing tissue-specific metabolite distributions in mass spectrometry imaging (MSI), yet practical...
Purpose To develop an explainable radio-pathomic graph deep-learning (RPGDL) system for multiscale spatial-contextual modeling of intratumoral heterog...
Purpose To develop and validate an anatomy-aware, two-stage, end-to-end deep learning (DL) pipeline for fetal brain abnormality automated detection on...
Acute myocardial infarction (AMI) remains a leading cause of morbidity and mortality, and early diagnosis and personalized therapy are constrained by ...