Pathology

Augmented intelligence for multimodal virtual biopsy in breast cancer using generative artificial intelligence.

OBJECTIVE: This study aims to propose a multimodal, multi-view deep learning approach for breast cancer virtual biopsy, a non-invasive classification of breast lesions as malignant or benign, by integrating Full-Field Digital Mammography (FFDM) and Contrast-Enhanced Spectral Mammography (CESM). The work addresses the critical challenge of missing CESM data by introducing generative artificial inte...

HepatoAILFA: Machine-Learning-Assisted Nano-enhanced Point-of-Care System for Personalized Precise Diagnosis of Hepatocellular Carcinoma.

Early diagnosis significantly improves survival rates for hepatocellular carcinoma (HCC), yet traditional methods face limitations, including specialized instruments/personnel and prolonged reporting cycles. While lateral flow immunoassay (LFA) offers a promising alternative, its sensitivity and accuracy remain challenged. Here, we present HepatoAILFA, a machine-learning-assisted nano-enhanced poi...

Revolutionizing salivary biomarkers through machine learning and artificial intelligence.

Chronic diseases remain major global health burdens, and early detection is essential for preventing progression and reducing complications. Saliva, a...

Subtype classification of gastric spindle cell tumors in whole slide images.

AIMS: Accurate cancer subtype classification is critical due to variations in tumor progression and prognosis. Traditionally, pathologists classified ...

Urinary Tumor DNA to Identify Candidates for Repeat Transurethral Resection in Non-Muscle-Invasive Bladder Cancer.

Repeat transurethral resection of bladder tumor (re-TURBT) is commonly recommended for patients with non-muscle-invasive bladder cancer (NMIBC) with h...

Characterizing endotypes in chronic rhinosinusitis: emerging research and clinical applications.

PURPOSE OF REVIEW: The purpose of this study is to describe why this review is timely and relevant. Endotyping, the organization of rhinologic inflamm...

Development of a microscopy-based diagnostic test for alkali injury-induced limbal stem cell deficiency through Autofluorescence Multispectral Imaging.

Diagnosing limbal stem cell deficiency (LSCD) remains challenging, and this study evaluates a newly developed Autofluorescence Multispectral Imaging (...

Visceral Adipose Tissue Alters Podometrics and Renal Compensation After Uninephrectomy.

INTRODUCTION: Obesity is an established risk factor for chronic kidney disease (CKD). However, excess visceral adipose tissue (VAT) termed visceral ob...

Biophysics of organoids.

Organoids, 3D in vitro structures derived from embryonic or adult stem cells, offer powerful models for studying tissue patterning, development, morph...

Automated atomic site determination by four-dimensional scanning transmission electron microscopy data analytics.

Automated atomic column detection and identification constitutes an active open front in advanced scanning transmission electron microscopy techniques...

Artificial intelligence-driven prostate cancer diagnosis: Enhancing accuracy and personalizing patient care.

Prostate cancer remains a major global burden; diagnostic pathways rely on prostate-specific antigen (PSA), multiparametric magnetic resonance imaging...

LI-RADS-aligned artificial intelligence for liver cancer diagnosis: methods, evidence, and clinical readiness.

Liver tumor diagnosis relies heavily on imaging, and the liver imaging reporting and data system (LI-RADS) provides a structured framework for evaluat...

A nomogram model integrating ultrasound-based multimodal radiomics features and clinical indexes for diagnosing significant hepatic fibrosis in AILD patients.

OBJECTIVE: To develop a prediction model combining radiomics features from 2D ultrasound (2D-US) and shear wave elastography (SWE) with clinical indic...

Artificial Intelligence in Hematology.

Artificial intelligence (AI) has emerged as a powerful resource in healthcare for diagnosis and management. However, successful AI deployment depends ...

Breast Cancer Detection in Mammography Images Using Transfer Learning Model.

Breast cancer remains a significant global health concern, emphasizing the need for advanced and accurate diagnostic tools. This research paper focuse...

Interpretable classification of endomicroscopic brain data via saliency consistent contrastive learning.

In neurosurgery, accurate brain tissue characterization via probe-based Confocal Laser Endomicroscopy (pCLE) has become popular for guiding surgical d...

Blood metabolic panels for identifying significant fibrosis and inflammation in patients with MASLD.

Metabolic dysfunction-associated steatotic liver disease (MASLD) remains a prevalent condition with limited diagnostic and therapeutic options. This s...

[Neck dissection-more, less, targeted?].

Neck dissection is an essential part of surgical treatment for head and neck malignancies. In recent years, the extent of neck dissection required for...

Federated Learning for Multi-Disease Ophthalmic Diagnostics Using OCT Angiography.

PURPOSE: To conduct a comprehensive systematic evaluation of federated learning (FL) strategies for multi-disease retinal classification using OCT ang...

Supragingival Biomarker flora of Children With and Without Cariogenic Disease and Black Stains, Aged 3 to 6 Years.

BACKGROUND: The oral microbiome plays a pivotal role in the occurrence and progression of dental caries and black stain (BS) pigment. OBJECTIVES: The ...