Latest AI and machine learning research in pathology for healthcare professionals.
Bronchopulmonary dysplasia (BPD) is a serious and often lethal complication of pre-term birth that typically manifests about one month after pre-term delivery. The lungs of premature infants are underdeveloped and vulnerable to mechanical damage, inflammation, and oxidative stress. Collectively, these stressors impair the normal alveolarization of the premature lungs after birth. The multifactoria...
OBJECTIVE: Given the limitations of conventional approaches in managing indeterminate thyroid nodules, there remains an unmet need for non-invasive assistant tools to improve risk stratification. This study aimed to evaluate the clinical applicability of an artificial intelligence (AI) model for thyroid nodules with atypia of undetermined significance (AUS) cytology. METHODS: We retrospectively an...
OBJECTIVE: Epilepsy surgery in people with focal cortical dysplasia (FCD) requires accurate removal of all epileptogenic tissue, and outcome is diffic...
The role of adipose tissue in predicting microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC) remains unclear. This study prop...
Amyloid fibrils formed by the misfolding and aggregation of proteins are a pathological hallmark of many neurodegenerative conditions including Alzhei...
Lupus nephritis (LN) is a severe manifestation of systemic lupus erythematosus (SLE), characterized by marked histological heterogeneity and high inte...
OBJECTIVE: This study aimed to develop and evaluate Machine Learning models to predict the malignant transformation (MT) in patients with actinic chei...
Multimodal clinical data, including imaging, pathology, omics, and laboratory tests, are often fragmented in routine practice, leading to inconsistent...
BACKGROUND: Oral Squamous Cell Carcinoma (OSCC) is a widespread and aggressive malignancy where early and accurate detection is essential for improvin...
The rapid development of spatial multi-omics technologies has enabled the simultaneous acquisition of transcriptomic, proteomic, and epigenomic inform...
BACKGROUND: Sjögren's disease (SjD), mucosa-associated lymphoid tissue lymphoma (MALT lymphoma), and thyroid cancer (THCA) are clinically distinct yet...
Monte Carlo diffusion simulations in numerical substrates are valuable for exploring the sensitivity and specificity of the diffusion MRI (dMRI) signa...
Extracellular vesicles (EVs) are emerging as naturally bioactive nanomaterials with intrinsic biocompatibility and targeting potential. Recent integra...
PURPOSE: Biocompatible collagen membranes (CM) are widely used in regenerative dentistry, particularly in guided tissue regeneration (GTR) and guided ...
BACKGROUND: Acute myocardial infarction (AMI) is a major global health burden, with current diagnostic biomarkers often limited by delayed elevation a...
OBJECTIVE: To predict cartilage tumor malignancy from radiographic images combined with readily available non-imaging information based on a vision-la...
Effective treatment of diabetic osteoporotic fractures (DOF) requires biomaterials capable of promoting vascularized bone regeneration. A biodegradabl...
Autopsies have long been performed to determine the cause of death in the medical field. In fact, autopsies have significantly contributed to our unde...
INTRODUCTION: Sarcomas are rare, molecularly diverse malignancies that challenge accurate diagnosis and effective therapy. Japan has implemented natio...
Neurodegenerative diseases (NDDs), including Alzheimer's disease (AD) and Parkinson's disease (PD), are major public health challenges lacking effecti...