Pathology

Explainable Artificial Intelligence-Driven Salivary Exosome Spectroscopic Profiling for Clinical Diagnosis and Metastasis Detection of Oral Cancer.

Oral squamous cell carcinoma (OSCC), the most common oral malignancy, requires accurate diagnostic m...

Expanded Indications in Advanced Endoscopic Resection of Malignant Gastrointestinal Lesions.

PURPOSE OF REVIEW: Endoscopic resection (ER) has transformed the management of early gastrointestina...

Development and validation of an artificial intelligence-based model for diagnosing benign, borderline, and malignant adnexal masses.

Classification of benign, borderline, and malignant adnexal masses is critical to effective clinical...

Machine learning-based classification of papillary thyroid carcinoma versus multinodular goiter using preoperative laboratory and cytology data.

Integrating deep learning and radiomics for precise identification of luminal A/B breast cancer subtypes on dynamic contrast-enhanced MRI.

BACKGROUND: Accurate differentiation between luminal A and B subtypes of breast cancer is critical f...

Artificial intelligence-assisted real-time nasopharyngeal cancer diagnostic model enhances rhinologist performance: a prospective multi-reader study.

BACKGROUND: Nasopharyngeal carcinoma (NPC) poses significant diagnostic challenges due to the anatom...

Development of machine learning-driven non-invasive diagnostic models for idiopathic membranous nephropathy in Chinese patients.

BACKGROUND: Idiopathic membranous nephropathy (IMN) is a major cause of nephrotic syndrome and end-s...

IR Spectroscopy and Linear Support Vector Machine Analysis of Colorectal Liver Metastasis.

The Colorectal Liver Metastasis (CLM) library contains 756,096 full range Fourier transform infrared...

An integrative deep learning model based on dual-mode ultrasound for diagnosing gallbladder polyps.

OBJECTIVES: The aim of this study was to develop an artificial intelligence model to automatically d...

Identification of a potential relationship between pigmented villonodular synovitis and atherosclerosis using comprehensive bioinformatics analyses.

BACKGROUND: This study investigates the pathogenesis of Pigmented Villonodular Synovitis (PVNS) usin...

Exploration of the Application of Multimodal Feature Analysis Based on Random Forest Algorithm Combining Ultrasound Elastography and Contrast-Enhanced Ultrasound in the Diagnosis of Ovarian Tumors.

OBJECTIVE: This study aimed to build a multimodal ultrasound (color Doppler flow imaging/shear wave ...

EXPRESS: Convolutional Autoencoder for Automated Pre-Processing of Tumor Cell and Tissue Raman Spectra.

Raman spectroscopy (RS) is a label-free, non-destructive optical modality that provides a detailed p...

Artificial Intelligence-Assisted Infrared Spectroscopy and Chemometrics for Enhanced Histopathology Screening of Micro- and Macrocancer Lesions.

Accurate detection of micro- and macrocancer lesions remains a critical challenge in histopathology,...

ViT-Stain: Vision transformer-driven virtual staining for skin histopathology via global contextual learning.

Current virtual staining approaches for histopathology slides use convolutional neural networks (CNN...

Single-cell transcriptomics and machine-learning reveal M1 macrophage-driven progression from minimal change disease to focal segmental glomerulosclerosis.

Minimal change disease (MCD) and focal segmental glomerulosclerosis (FSGS) are two key nephrotic syn...

Raman spectroscopy as the quantum eye to reveal molecular dynamics in biology.

Raman spectroscopy was a molecular vibrational spectroscopy technique based on inelastic light scatt...

Time-Resolved Fluorescence and Diffuse Reflectance (TRF-DR) Spectroscopy for Heterogeneous Breast Tissue Classification and Tumor Margin Assessment.

Re-excision rates remain high for early-stage breast cancer patients due to challenges in margin del...

SSDA_AOA: Stacked Sparse Denoising Autoencoder With Archimedes Optimization Algorithm Based Oral Cancer Detection on Histopathological Images.

OBJECTIVES: This study aims to address the challenges in the diagnosis of oral cancer by proposing a...

Assignment of the Biological Identity of Breast Masses in Contrast-enhanced Spectral Computed Tomography Examinations of Chest Carried Out in Clinical Routine Diagnostics.

BACKGROUND: Focal breast lesions are observed in up to 5.8% of CT examinations performed in female p...

Inferring tephritid fly pupal development stage using non-invasive near infrared imaging and machine learning classification.

Insect pupae change morphologically (e.g., pigmentation of eyes, wings, setae and legs) during the i...

Targeted blood proteome profiling using NULISAseq identifies a high-performance biomarker panel for Aβ pathology quantification and staging.

INTRODUCTION: While current blood-based biomarkers for Alzheimer's disease (AD) are effective for de...